. "2008-08-18T20:30:44"^^ . "**DBpedia** is a community effort to extract structured information from Wikipedia and to make this information available on the Web. DBpedia allows you to make sophisticated queries against Wikipedia, and to link other data sets on the Web to Wikipedia data.\n\n{{feed title=\"News\" divclass=\"box\" url=\"http://dbpedia-blog.aksw.org/wp-feed.php\" max=\"3\"}}\n===Project Overview===\n((http://wikipedia.org Wikipedia)) is the by far largest publicly available encyclopedia on the Web. Wikipedia editions are available in over 250 languages with the English one accounting for more than 2.49 million articles. Unfortunately, Wikipedia's search capabilities are limited to full-text search, which allows very limited access to this valuable knowledge-base.\n\n((http://www.w3.org/2001/sw/ Semantic Web)) technologies enable expressive queries against structured and interlinked information on the Web. Unfortunately, there is not much RDF data online yet, and up-to-date terms and ontologies are missing for many application domains.\n\nThe DBpedia project helps resolve both issues by extracting structured information from Wikipedia and by making this information available on the Web. \n\nThe DBpedia data set currently provides information about more than 2.49 million \"things\", including at least 108,000 persons, 392,000 places, 57,000 music albums, and 36,000 films. Altogether, the DBpedia data set consists of 218 million pieces of information (RDF triples).\n\n===Wiki Contents===\nThis Wiki provides information about the DBpedia community project:\n *((Datasets)) gives an overview about the DBpedia data set.\n *((Architecture)) paints a picture of the software and protocols used in the DBpedia implementation.\n *((OnlineAccess Online Access)) describes how the data set can be accessed via a SPARQL endpoint and as Linked Data.\n *((Downloads)) provides the DBpedia data sets for download.\n *((Interlinking)) describes how the DBpedia data set is interlinked with various other datasets on the Web.\n *((UseCases Use Cases)) lists different use cases for the DBpedia data set.\n *((Documentation Extraction Framework)) describes the DBpedia information extraction framework.\n *((Publications)) gives an overview about DBpedia related publications.\n *((Support Community)) explains how the DBpedia community collaborates and how people can contribute to the DBpedia effort.\n *((Team Credits)) lists the people and institutions that have contributed to DBpedia so far.\n *((NextSteps Next steps)) describes ideas and future plans for the DBpedia project. \n\n<#\n $\"This$ #>\n\nhttp://www4.wiwiss.fu-berlin.de/dbpedia-docs/fu-logo.gif http://www4.wiwiss.fu-berlin.de/dbpedia-docs/logo_leipzig.gif http://www4.wiwiss.fu-berlin.de/dbpedia-docs/openlink150.gif" . . . . "2007-06-25T18:17:12"^^ . "{{WantedPages}}" . . . . "2007-06-25T18:17:12"^^ . "{{OrphanedPages}}" . . . . "2007-06-25T18:17:12"^^ . "{{MyPages}}" . . . . "2007-06-25T18:17:12"^^ . "{{MyChanges}}" . . . . "2007-06-25T18:17:12"^^ . "{{RecentChanges}}" . . . . "2007-06-25T18:17:12"^^ . "{{RecentlyCommented}}" . . . . "2007-06-25T18:17:12"^^ . "{{PageIndex}}" . . . . "2007-06-25T18:17:12"^^ . "{{LastUsers}}" . . . . "2007-06-25T18:17:12"^^ . "{{Registration}}" . . . . "2007-06-25T18:17:12"^^ . "{{ChangePassword}}" . . . . "2007-06-25T18:17:12"^^ . "{{Search}}" . . . . "2007-06-25T18:17:12"^^ . "{{Login}}" . . . . "2007-06-25T18:17:12"^^ . "{{UserSettings}}" . . . . "2007-06-25T18:17:12"^^ . "{{InterWikiList}}" . . . . "2008-07-07T22:59:51"^^ . "==Credits==\n\nDBpedia is an open community project and highly welcomes new contributors. \n\nThe project was started by the following organizations and individuals:\n\nhttp://dbpedia.org/docs/fu-logo.gif\n\nhttp://dbpedia.org/docs/logo_leipzig.gif\n\nhttp://dbpedia.org/docs/openlink150.gif\n\n\n((http://www.seas.upenn.edu/~auer/ Sören Auer)), Universität Leipzig\n((http://www.bizer.de/ Chris Bizer)), Freie Universität Berlin\n((http://richard.cyganiak.de/ Richard Cyganiak)), Freie Universität Berlin\n((http://www.openlinksw.com/dataspace/person/oerling Orri Erling)), ~OpenLink Software\n((http://community.linkeddata.org/dataspace/person/kidehen2 Kingsley Idehen)), ~OpenLink Software\n((http://www.georgikobilarov.com/ Georgi Kobilarov)), Freie Universität Berlin\n((http://jens-lehmann.org Jens Lehmann)), Universität Leipzig\n((mailto:schorsus@gmx.de Jörg Schüppel)), Universität Leipzig\n\nThanks a lot for their excellent work on the **September 2007 release** of the DBpedia dataset to:\n\n 1. Georgi Kobilarov (Freie Universität Berlin) who redesigned and improved the extraction framework and implemented many of the interlinking algorithms.\n 2. Piet Hensel (Freie Universität Berlin) who improved the infobox extraction code, and wrote the unit test suite.\n 3. Richard Cyganiak (Freie Universität Berlin) for his advice on redesigning the architecture of the extraction framework and for helping to solve many annoying Unicode and URI problems.\n 4. Zdravko Tashev (~OpenLink Software) for his patience in trying several times to import buggy versions of the dataset into Virtuoso.\n 5. ~OpenLink Software altogether for providing the Virtuoso database server that hosts the DBpedia SPARQL endpoint and RDF Data Set.\n 6. Sören Auer, Jens Lehmann and Jörg Schüppel (Universität Leipzig) for the original version of the infobox extraction code.\n 7. Tom Heath and Peter Coetzee (Open University) for the RDFS version of the YAGO class hirarchy.\n 8. Fabian M. Suchanek, Gjergji Kasneci (Max-Plank-Institut Saarbrücken) for allowing us to integrate the YAGO classification.\n 9. Christian Becker (Freie Universität Berlin) for writing the geo-coordinates and the homepage extractors.\n 10. Hans Butschalowsky (Freie Universität Berlin) for the Wikipedia infobox template to WordNet mapping.\n 11. Chris Bizer (Freie Universität Berlin) for coordinating the Berlin part of the work and annoying everybody with suggestions and bug reports.\n 11. Ivan Herman, Tim Berners-Lee, Rich Knopman and many others for their bug reports.\n 12. Vijay Alilaghatta for contributing the ((OpenCyc Wikipedia-Cyc links))." . . . . "2008-08-01T18:10:42"^^ . "==Publications==\nThis section collects blog posts about DBpedia, publications about the project and related websites.\n\n===Publications about DBpedia===\n * Jim Giles: ((http://technology.newscientist.com/channel/tech/mg19826585.800-birth-pangs-for-the-semantic-web.html Birth pangs for the 'semantic web')), New Scientist, Issue 2658, 31 May 2008 (((http://www.tmcnet.com/usubmit/2008/05/30/3474045.htm full text via TMCnet))).\n * Christian Becker, Christian Bizer: ((http://www4.wiwiss.fu-berlin.de/bizer/pub/BeckerBizer-DBpediaMobile-Ldow2008.pdf DBpedia Mobile: A Location-Enabled Linked Data Browser)). 1st International Workshop about Linked Data on the Web, ((http://semanticweb.org/wiki/LDOW2008 LDOW2008)), Beijing, China, April, 2008.\n * Auer, S.; Bizer, C.; Lehmann, J.; Kobilarov, G.; Cyganiak, R.; Ives, Z.: ((http://www.informatik.uni-leipzig.de/~auer/publication/dbpedia.pdf DBpedia: A Nucleus for a Web of Open Data.)) In Aberer et al. (Eds.): The Semantic Web, 6th International Semantic Web Conference, 2nd Asian Semantic Web Conference, ((http://semanticweb.org/wiki/ISWC2007%2BASWC2007 ISWC 2007 + ASWC 2007)), Busan, Korea, November 11-15, 2007. Lecture Notes in Computer Science 4825 Springer 2007, ISBN 978-3-540-76297-3.\n * Lehmann, J.; Schüppel, J.; Auer, S.: ((http://www.informatik.uni-leipzig.de/~auer/publication/relfinder.pdf Discovering Unknown Connections - the DBpedia Relationship Finder.)) In ((http://www.informatik.uni-trier.de/~ley/db/conf/cssw/cssw2007.html Proceedings of 1st Conference on Social Semantic Web)), CSSW2007, Leipzig, September 24-28, 2007. Volume P-113 of GI-Edition - Lecture Notes in Informatics (LNI). Bonner Köllen Verlag, ISSN 1617-5468, ISBN 978-3-88579-207-9.\n * Georgi Kobilarov, Piet Hensel, Richard Cyganiak, Christian Bizer: DBpedia — A Nucleus for a Web of Open Data. Poster presentation at CSSW07. ((http://richard.cyganiak.de/2007/10/dbpedia-webofdata-poster.pdf Poster (PDF))), ((http://richard.cyganiak.de/2007/10/dbpedia-webofdata-slides.pdf slides (PDF))).\n * Christian Bizer et al.: ((http://sites.wiwiss.fu-berlin.de/suhl/bizer/pub/DBpedia-WWW2007-draft-slides.pdf DBpedia - Querying Wikipedia like a Database.)) Developers track presentation at ((http://www2007.org/prog-Developers.php WWW2007)).\n * Sören Auer, Jens Lehmann: ((http://www.informatik.uni-leipzig.de/~auer/publication/ExtractingSemantics.pdf What have Innsbruck and Leipzig in common? Extracting Semantics from Wiki Content.)) In Franconi et al. (eds), Proceedings of ((http://www.eswc2007.org/ European Semantic Web Conference (ESWC’07))), LNCS 4519, pp. 503–517, Springer, 2007.\n\n===Blog posts about DBpedia===\n * 2008-03-28: Tim Berners-Lee (MIT/W3C): ((http://dig.csail.mit.edu/breadcrumbs/node/232 Semantic Web in the news))\n * 2007-09-08: Nova Spivack (Radar Networks): ((http://novaspivack.typepad.com/nova_spivacks_weblog/2007/09/dbpediaorg-is-a.html DBpedia.org is Among the Coolest Semantic Web Datasets I've Seen ))\n * 2007-08-09: John Musser (Programmableweb): ((http://blog.programmableweb.com/2007/08/09/using-wikipedia-as-a-web-database/ Using Wikipedia as a Web Database))\n * 2007-07-29: Ivan Herman (W3C): ((http://ivanherman.wordpress.com/2007/07/29/from-wikipedia-uri-s-to-dbpedia-uri%e2%80%a6/ From Wikipedia URI-s to DBpedia URI…))\n * 2007-04-03: Michael K. Bergman (AI³): ((http://www.mkbergman.com/?p=354 Did You Blink? The Structured Web Just Arrived))\n * 2007-03-12: Tim O'Reilly (O'Reilly Media): ((http://radar.oreilly.com/archives/2007/03/different_appro_1.html Different Approaches to the Semantic Web))\n * 2007-03-09: You Mon Tsang (VentureBeat): ((http://venturebeat.com/2007/03/09/are-you-powered-by-wikipedia-yet/ Are you powered by Wikipedia yet?))\n * 2007-01-26: Niklas (Dust Feed): ((http://dustfeed.blogspot.com/2007/01/great-day-for-specificity.html A Great Day for Specificity))\n * 2007-01-24: Ivan Herman (W3C): ((http://ivanherman.wordpress.com/2007/01/24/chris-strikes-again-integrating-wikipedia-and-sw/ Integrating Wikipedia and SW))\n * 2007-01-23: Mike Linksvayer (Creative Commons): ((http://gondwanaland.com/mlog/2007/01/23/dbpedia/ Querying Wikipedia like a Database))\n\n===Other Wikipedia related Publications===\n * Fei Wu, Daniel Weld: ((http://www2008.org/papers/pdf/p635-wu.pdf Automatically Refining the Wikipedia Infobox Ontology)). In 17th World Wide Web Conference (WWW2008), April 2008.\n * Fei Wu, Daniel Weld: ((http://www.cs.washington.edu/homes/wufei/papers/cikm07.pdf Autonomously Semantifying Wikipedia)). In 16th Conference on Information and Knowledge Management (CIKM-07), November, 2007\n * Fabian M. Suchanek, Gjergji Kasneci, Gerhard Weikum: ((http://www2007.org/papers/paper391.pdf Yago: A Core of Semantic Knowledge - Unifying WordNet and Wikipedia)). Paper at ((http://www2007.org/index.php WWW2007)).\n * Martin Hepp, Daniel Bachlechner, Katharina Siorpaes1: ((http://www.heppnetz.de/files/SemWiki2006-Harvesting%20Wiki%20Consensus-LNCS-final.pdf Harvesting Wiki Consensus - Using Wikipedia Entries as Ontology Elements)). Paper at ((http://ontoworld.org/wiki/SemWiki2006 SemWiki2007)).\n * Jonathan Isbell, Mark Butler: ((http://www.hpl.hp.com/techreports/2007/HPL-2007-182.html Extracting and Re-using Structured Data from Wikis)). HP Labs Technical Report, 2007.\n * Michael Bergman: ((http://www.mkbergman.com/?p=417 99 Wikipedia Sources Aiding the Semantic Web)). List of publications about mining structured data from Wikipedia, February 2008.\n * Hugo Zaragoza et al: ((http://portal.acm.org/citation.cfm?id=1321440.1321599 Ranking very many typed entities on wikipedia)), ACM conference on Conference on information and knowledge management .\n\n===Related Webpages===\n * ((http://sourceforge.net/projects/dbpedia DBpedia project page on Sourceforge))\n * ((http://www.urbigene.com/wikistory/ WikiStory: Drawing Timelines from Wikipedia & DBpedia))\n * ((http://ontoworld.org/wiki/Semantic_MediaWiki Semantic MediaWiki))\n * ((http://www.freebase.com/ Freebase)) (((http://radar.oreilly.com/archives/2007/03/freebase_will_p_1.html Tim O'Reilly post with a preview of Freebase)))\n * ((http://esw.w3.org/topic/SweoIG/TaskForces/CommunityProjects/LinkingOpenData W3C SWEO Community Project: Linking Open Data on the Web))\n * ((http://www.cs.washington.edu/ai/iwp/ The Intelligence in Wikipedia Project))\n * ((http://blog.freebase.com:80/?p=108 Metaweb: Mining knowledge from Wikipedia: Announcing WEX))\n * ((http://www.yr-bcn.es/dokuwiki/doku.php?id=semantically_annotated_snapshot_of_wikipedia Yahoo Research: Semantically Annotated Snapshot of the English Wikipedia))\n" . . . . "2008-08-17T16:36:34"^^ . "==The DBpedia Dataset==\nThe DBpedia dataset is a large multi-domain ontology which has been derived from Wikipedia. The DBpedia dataset currently describes 2.49 million \"things\" with 218 million \"facts\" (August 2008).\n\n{{ToC numerate=1}}\n\n===Background===\n((http://en.wikipedia.org/ Wikipedia)) has grown into one on the central knowledge sources of mankind and is maintained by thousands of contributors.\n\nWikipedia articles consist mostly of free text, but also contain different types of structured information, such as ((http://en.wikipedia.org/wiki/Wikipedia:Infobox_templates infobox templates)),((http://en.wikipedia.org/wiki/Wikipedia:Categorical_index categorisation information)), images, geo-coordinates and links to external Web pages. \n\nFor instance, the figure below shows the source code and the visualisation of a infobox template containing structured information about the town of Innsbruck.\n\nhttp://wiki.dbpedia.org/Datasets/files?get=wikipediatemplate.png\n\nThis structured information can be extracted from Wikipedia and can serve as a basis for enabling sophisticated queries against Wikipedia content.\n\nThe DBpedia.org project uses the ((http://www.w3.org/TR/rdf-primer/ Resource Description Framework (RDF))) as a flexible data model for representing extracted information and for publishing it on the Web. We use the ((http://www.w3.org/TR/rdf-sparql-query/ SPARQL)) query language to query this data. Please refer to the ((http://sites.wiwiss.fu-berlin.de/suhl/bizer/toolkits/index.htm Developers Guide to Semantic Web Toolkits)) to find a development toolkit in your preferred programming language to process DBpedia data.\n\n===Content of the DBpedia Dataset===\nThe DBpedia dataset currently consists of around 218 million RDF triples, which have been extracted from the English, German, French, Spanish, Italian, Portuguese, Polish, Swedish, Dutch, Japanese, Chinese, Russian, Finnish and Norwegian versions of Wikipedia.\n\nThe DBpedia dataset describes 2.49 million \"things\", including at least 108,000 persons, 392,000 places, 57,000 music albums, and 36,000 films. It contains 588,000 links to images, 3,150,000 links to relevant external web pages, 2,180,000 external links into other RDF datasets, 207,000 Wikipedia categories, and 75,000 YAGO categories.\n\nThe table below contains links to some example \"things\" from the dataset:\n\n#|\n||**Class** |**Examples**||\n||City | ((http://dbpedia.org/page/Cambridge Cambridge)), ((http://dbpedia.org/page/Berlin Berlin)), ((http://dbpedia.org/page/Manchester Manchester)) ||\n||Country |((http://dbpedia.org/page/Spain Spain)), ((http://dbpedia.org/page/Iceland Iceland)), ((http://dbpedia.org/page/South_Korea South Korea)) ||\n||Politician |((http://dbpedia.org/page/George_W._Bush George W. Bush)), ((http://dbpedia.org/page/Nicolas_Sarkozy Nicolas Sarkozy)), ((http://dbpedia.org/page/Angela_Merkel Angela Merkel))||\n||Musician | ((http://dbpedia.org/page/AC/DC AC/DC)), ((http://dbpedia.org/page/Diana_Ross Diana Ross)), ((http://dbpedia.org/page/R%C3%B6yksopp Röyksopp)) ||\n||Music album |((http://dbpedia.org/page/Led_Zeppelin_III Led Zeppelin III)), ((http://dbpedia.org/page/Like_a_Virgin Like a Virgin)), ((http://dbpedia.org/page/Thriller_%28album%29 Thriller))||\n||Director | ((http://dbpedia.org/page/Woody_Allen Woody Allen)), ((http://dbpedia.org/page/Oliver_Stone Oliver Stone)), ((http://dbpedia.org/page/Takashi_Miike Takashi Miike))||\n||Film | ((http://dbpedia.org/page/Pulp_Fiction_%28film%29 Pulp Fiction)), ((http://dbpedia.org/page/Hysterical_Blindness Hysterical Blindness)), ((http://dbpedia.org/page/Breakfast_at_Tiffany%27s Breakfast at Tiffany's))||\n||Book | ((http://dbpedia.org/page/The_Lord_of_the_Rings The Lord of the Rings)), ((http://dbpedia.org/page/The_Adventures_of_Tom_Sawyer_%28novel%29 The Adventures of Tom Sawyer)), ((http://dbpedia.org/page/Bible The Holy Bible))||\n||Computer Game | ((http://dbpedia.org/page/Tetris Tetris)), ((http://dbpedia.org/page/World_of_Warcraft World of Warcraft)), ((http://dbpedia.org/page/Sam_&_Max_Hit_the_Road Sam & Max hit the Road))||\n||Technical Standard | ((http://dbpedia.org/page/HTML HTML)), ((http://dbpedia.org/page/Resource_Description_Framework RDF)), ((http://dbpedia.org/page/Uniform_Resource_Identifier URI))||\n|#\nYou can also use Richard Cyganiak's PHP script to ((http://richard.cyganiak.de/2007/09/random-dbpedia.php view random things)) from the DBpedia dataset.\n\n===Identifying \"things\"===\nEach of the 2.18 million resources described in the DBpedia dataset is identified by a URI reference of the form http://dbpedia.org/resource/Name , where Name is taken from the URL of the source Wikipedia article, which has the form http://en.wikipedia.org/wiki/Name . Thus, each resource is tied directly to an English-language Wikipedia article.\n\n===Describing \"things\"===\nEach DBpedia resource is described by various properties. Below, we give an overview about the most important types of properties.\n\n====Basic Information====\nEvery DBpedia resource is described by a label, a short and long English abstract, a link to the corresponding Wikipedia page, and a link to an image depicting the thing (if available).\n\nIf a thing exists in multiple language versions of Wikipedia, then short and long abstracts within these languages and links to the different language Wikipedia pages are added to the description. The DBpedia dataset contains the following numbers of abstracts per language:\n\n#|\n||**Language** |**Number of Abstracts**||\n||English |2,490,000||\n||German |391,000||\n||French |383,000||\n||Dutch |284,000||\n||Polish |256,000||\n||Italian |286,000||\n||Spanish |226,000||\n||Japanese |199,000||\n||Portuguese |246,000||\n||Swedish |144,000||\n||Chinese |101,000||\n|#\n\n====Classifications====\nDBpedia provides three different classification schemata for things.\n\n 1. **Wikipedia Categories** are represented using the ((http://www.w3.org/2004/02/skos/ SKOS vocabulary)).\n 2. **The YAGO Classification** is derived from the Wikipedia category system using WordNet. Please refer to ((http://www2007.org/papers/paper391.pdf Yago: A Core of Semantic Knowledge - Unifying WordNet and Wikipedia)) for more details.\n 3. **WordNet Synset Links** were generated by manually relating Wikipedia infobox templates and WordNet synsets, and adding a corresponding link to each thing that uses a specific template. In theory, this classification should be more precise then the Wikipedia category system.\n\nUsing these classifications within SPARQL queries allows you to select things of a certain type.\n\n=====Wikipedia Categories=====\n * ((http://dbpedia.org/snorql/?query=SELECT+*+WHERE+%7B%0D%0A%3Fsubject+skos%3Asubject+%3Chttp%3A%2F%2Fdbpedia.org%2Fresource%2FCategory%3ANational_Basketball_Association_teams%3E.%0D%0A%7D NBA Teams)) (Does not work with Internet Explorer)\n * ((http://dbpedia.org/snorql/?query=SELECT+*+WHERE+%7B%0D%0A%3Fsubject+skos%3Asubject+%3Chttp%3A%2F%2Fdbpedia.org%2Fresource%2FCategory%3ACar_manufacturers%3E.%0D%0A%7D+LIMIT+20 Car manufacturers)) \n\n=====YAGO Classes=====\n * ((http://dbpedia.org/snorql/?query=SELECT+*+WHERE+%7B%0D%0A%3Fsubject+rdf%3Atype+%3Chttp%3A%2F%2Fdbpedia.org%2Fclass%2Fyago%2FCapital108518505%3E.%0D%0A%3Fsubject+rdfs%3Alabel+%3Flabel.%0D%0A%3Fsubject+rdfs%3Acomment+%3Fabstract.%0D%0AFILTER+%28lang%28%3Flabel%29+%3D+%22en%22+%26%26+lang%28%3Fabstract%29+%3D+%22en%22%29%0D%0A%7D+LIMIT+20 Capitals))\n * ((http://dbpedia.org/snorql/?query=SELECT+*+WHERE+%7B%0D%0A%3Fsubject+rdf%3Atype+%3Chttp%3A%2F%2Fdbpedia.org%2Fclass%2Fyago%2FBird101503061%3E.%0D%0A%3Fsubject+rdfs%3Alabel+%3Flabel.%0D%0A%3Fsubject+rdfs%3Acomment+%3Fabstract.%0D%0AFILTER+%28lang%28%3Flabel%29+%3D+%22en%22+%26%26+lang%28%3Fabstract%29+%3D+%22en%22%29%0D%0A%7D+LIMIT+20 Birds))\n\n=====Wordnet=====\n * ((http://dbpedia.org/snorql/?query=SELECT+*+WHERE+%7B%0D%0A%3Fsubject+dbpedia2%3Awordnet_type+%3Chttp%3A%2F%2Fwww.w3.org%2F2006%2F03%2Fwn%2Fwn20%2Finstances%2Fsynset-software-noun-1%3E.%0D%0A%3Fsubject+rdfs%3Alabel+%3Flabel.%0D%0A%3Fsubject+rdfs%3Acomment+%3Fabstract.%0D%0AFILTER+%28lang%28%3Flabel%29+%3D+%22en%22+%26%26+lang%28%3Fabstract%29+%3D+%22en%22%29%0D%0A%7D+LIMIT+20 Software))\n * ((http://dbpedia.org/snorql/?query=SELECT+*+WHERE+%7B%0D%0A%3Fsubject+dbpedia2%3Awordnet_type+%3Chttp%3A%2F%2Fwww.w3.org%2F2006%2F03%2Fwn%2Fwn20%2Finstances%2Fsynset-airline-noun-2%3E.%0D%0A%3Fsubject+rdfs%3Alabel+%3Flabel.%0D%0A%3Fsubject+rdfs%3Acomment+%3Fabstract.%0D%0AFILTER+%28lang%28%3Flabel%29+%3D+%22en%22+%26%26+lang%28%3Fabstract%29+%3D+%22en%22%29%0D%0A%7D+LIMIT+20 Airlines))\n\n====Infobox Data====\nThe DBpedia dataset contains 22.8 million pieces of information that have been extracted from infoboxes within the English version of Wikipedia. The types of the infobox properties depend on the type of the infobox, and there are approximately 8000 different property types. Many infobox property values are typed using XML datatypes.\n\nThe infobox data enables sophisticated, fine-grained queries over the dataset. Some example queries are shown below:\n\n * ((http://dbpedia.org/snorql/?query=SELECT+%3Fsubject+%3Flabel+%3Freleased+%3Fabstract+WHERE+%7B%0D%0A%3Fsubject+rdf%3Atype+%3Chttp%3A%2F%2Fdbpedia.org%2Fclass%2Fyago%2FMotionPictureFilm103789400%3E.%0D%0A%3Fsubject+dbpedia2%3Astarring+%3Chttp%3A%2F%2Fdbpedia.org%2Fresource%2FTom_Cruise%3E.%0D%0A%3Fsubject+rdfs%3Acomment+%3Fabstract.%0D%0A%3Fsubject+rdfs%3Alabel+%3Flabel.%0D%0AFILTER%28lang%28%3Fabstract%29+%3D+%22en%22+%26%26+lang%28%3Flabel%29+%3D+%22en%22%29.%0D%0A%3Fsubject+dbpedia2%3Areleased+%3Freleased.%0D%0AFILTER%28xsd%3Adate%28%3Freleased%29+%3C+%222000-01-01%22%5E%5Exsd%3Adate%29.%0D%0A%7D+ORDER+BY+%3Freleased%0D%0ALIMIT+20%0D%0A Abstracts of movies starring Tom Cruise, released before 1999))\n * ((http://dbpedia.org/snorql/?query=SELECT+%3Fsubject+%3Femployees+%3Fhomepage+WHERE+%7B%0D%0A%3Fsubject+rdf%3Atype+%3Chttp%3A%2F%2Fdbpedia.org%2Fclass%2Fyago%2FCompany108058098%3E.%0D%0A%3Fsubject+dbpedia2%3AnumEmployees+%3Femployees%0D%0AFILTER+%28xsd%3Ainteger%28%3Femployees%29+%3E%3D+50000%29.%0D%0A%3Fsubject+foaf%3Ahomepage+%3Fhomepage.%0D%0A%7D+ORDER+BY+DESC%28xsd%3Ainteger%28%3Femployees%29%29%0D%0ALIMIT+20%0D%0A The official websites of companies with more than 50000 employees))\n * ((http://dbpedia.org/snorql/?query=SELECT+%3Fsubject+%3Fpopulation+WHERE+%7B+%7B%0D%0A%3Fsubject+rdf%3Atype+%3Chttp%3A%2F%2Fdbpedia.org%2Fclass%2Fyago%2FCity108524735%3E.%0D%0A%3Fsubject+dbpedia2%3Apopulation+%3Fpopulation.%0D%0AFILTER+%28xsd%3Ainteger%28%3Fpopulation%29+%3E+2000000%29%0D%0A%7D+UNION+%7B%0D%0A%3Fsubject+rdf%3Atype+%3Chttp%3A%2F%2Fdbpedia.org%2Fclass%2Fyago%2FCity108524735%3E.%0D%0A%3Fsubject+dbpedia2%3ApopulationUrban+%3Fpopulation.%0D%0AFILTER+%28xsd%3Ainteger%28%3Fpopulation%29+%3E+2000000%29%0D%0A%7D+%7D%0D%0AORDER+BY+DESC%28xsd%3Ainteger%28%3Fpopulation%29%29%0D%0ALIMIT+20 Cities with more than 2 million habitants))\n\n====External Links====\nThe DBpedia dataset contains HTML links to external web pages as well as RDF links into external data sources.\n\nThere are two types of links to HTML pages: ##dbpedia:reference## links point to several web pages about a thing. In addition, some things also have ##foaf:homepage## links that point to web pages that can be considered the \"official homepage\" of a thing. \n\nRDF links are represented using the ##owl:sameAs## property. Please refer to ((Interlinking)) for more information about RDF links and the interlinked datasets.\n\n=====FOAF Homepage=====\n * ((http://dbpedia.org/snorql/?query=SELECT+*+WHERE+%7B%0D%0A%3Fs+foaf%3Ahomepage+%3Fh.%0D%0A%3Fs+rdf%3Atype+%3Chttp%3A%2F%2Fdbpedia.org%2Fclass%2Fyago%2FUniversity108286163%3E.%0D%0A%7D+LIMIT+20 Official websites of Universities))\n * ((http://dbpedia.org/snorql/?query=SELECT+*+WHERE+%7B%0D%0A%3Fs+foaf%3Ahomepage+%3Fh.%0D%0A%3Fs+rdf%3Atype+%3Chttp%3A%2F%2Fdbpedia.org%2Fclass%2Fyago%2FCapital108518505%3E.%0D%0A%7D+LIMIT+20 Official websites of Capitals))\n\n=====Owl:sameAs Links=====\n * Geographical (to ((http://geonames.org geonames.org)), ((http://www4.wiwiss.fu-berlin.de/eurostat/ eurostat data)) and the RDF version of the ((http://www4.wiwiss.fu-berlin.de/factbook/ CIA Factbook)), both served at the FU Berlin):\n * ((http://dbpedia.org/snorql/?query=SELECT+*+WHERE+%7B%0D%0A%3Fsubject+owl%3AsameAs+%3Flink.%0D%0A%3Fsubject+rdf%3Atype+%3Chttp%3A%2F%2Fdbpedia.org%2Fclass%2Fyago%2FState108654360%3E%0D%0A%7D+LIMIT+20 Countries))\n * Authors / Books (to ((http://quotationsbook.com quotationsbook.com)) and ((http://www4.wiwiss.fu-berlin.de/gutendata/ Project Gutenberg RDF)), served at the FU Berlin. Links to the ((http://sites.wiwiss.fu-berlin.de/suhl/bizer/bookmashup/ RDF Book Mashup)) will follow soon ):\n * ((http://dbpedia.org/snorql/?query=SELECT+*+WHERE+%7B%0D%0A%3Fsubject+owl%3AsameAs+%3Flink.%0D%0A%3Fsubject+rdf%3Atype+%3Chttp%3A%2F%2Fdbpedia.org%2Fclass%2Fyago%2FWriter110794014%3E%0D%0A%7D+LIMIT+20 Authors))\n * Computer Scientist publications ((http://www4.wiwiss.fu-berlin.de/dblp/ DBLP)), served at the FU Berlin:\n * ((http://dbpedia.org/snorql/?query=SELECT+*+WHERE+%7B%0D%0A%3Fsubject+owl%3AsameAs+%3Flink.%0D%0A%3Fsubject+rdf%3Atype+%3Chttp%3A%2F%2Fdbpedia.org%2Fclass%2Fyago%2FProgrammer110481268%3E%0D%0A%7D+LIMIT+20 DBLP))\n * U.S. Census Statistical Data ((http://rdfabout.com/demo/census/ rdfabout.com)), RDF version by ((http://razor.occams.info/ Joshua Tauber)):\n * ((http://dbpedia.org/snorql/?query=SELECT+*+WHERE+%7B%0D%0A%3Fsubject+owl%3AsameAs+%3Flink.%0D%0A%3Fsubject+skos%3Asubject+%3Chttp%3A%2F%2Fdbpedia.org%2Fresource%2FCategory%3AStates_of_the_United_States%3E%0D%0A%7D+LIMIT+20 Links for U.S. States))\n\n====Geo-Coordinates====\nThe DBpedia dataset contains geo-coordinates for 392,000 geographic locations. Geo-coordinates are expressed using the ((http://www.w3.org/2003/01/geo/ W3C Basic Geo Vocabulary)).\n\nBesides simple listings of geo-coordinates (e.g., ((http://dbpedia.org/snorql/?query=PREFIX+geo%3A+%3Chttp%3A%2F%2Fwww.w3.org%2F2003%2F01%2Fgeo%2Fwgs84_pos%23%3E%0D%0ASELECT+%3Fsubject+%3Flat+%3Flong+WHERE+%7B%0D%0A%3Fsubject+skos%3Asubject+%3Chttp%3A%2F%2Fdbpedia.org%2Fresource%2FCategory%3AFootball_venues_in_Germany%3E.%0D%0A%3Fsubject+geo%3Alat+%3Flat.%0D%0A%3Fsubject+geo%3Along+%3Flong.%0D%0A%7D+LIMIT+20 German soccer stadiums)) ), the new geo-coordinates allow sophisticated queries, like \"show me all things next to the\":\n * ((http://dbpedia.org/snorql/?query=PREFIX+geo%3A+%3Chttp%3A%2F%2Fwww.w3.org%2F2003%2F01%2Fgeo%2Fwgs84_pos%23%3E%0D%0ASELECT+%3Fsubject+%3Flabel+%3Flat+%3Flong+WHERE+%7B%0D%0A%3Chttp%3A%2F%2Fdbpedia.org%2Fresource%2FEiffel_Tower%3E+geo%3Alat+%3FeiffelLat.%0D%0A%3Chttp%3A%2F%2Fdbpedia.org%2Fresource%2FEiffel_Tower%3E+geo%3Along+%3FeiffelLong.%0D%0A%3Fsubject+geo%3Alat+%3Flat.%0D%0A%3Fsubject+geo%3Along+%3Flong.%0D%0A%3Fsubject+rdfs%3Alabel+%3Flabel.%0D%0AFILTER%28xsd%3Afloat%28%3Flat%29+-+xsd%3Afloat%28%3FeiffelLat%29+%3C%3D+0.05+%26%26+xsd%3Afloat%28%3FeiffelLat%29+-+xsd%3Afloat%28%3Flat%29+%3C%3D+0.05+%26%26%0D%0Axsd%3Afloat%28%3Flong%29+-+xsd%3Afloat%28%3FeiffelLong%29+%3C%3D+0.05+%26%26+xsd%3Afloat%28%3FeiffelLong%29+-+xsd%3Afloat%28%3Flong%29+%3C%3D+0.05+%26%26%0D%0Alang%28%3Flabel%29+%3D+%22en%22%0D%0A%29.%0D%0A%7D+LIMIT+20 Eiffel Tower))\n * ((http://dbpedia.org/snorql/?query=PREFIX+geo%3A+%3Chttp%3A%2F%2Fwww.w3.org%2F2003%2F01%2Fgeo%2Fwgs84_pos%23%3E%0D%0ASELECT+%3Fsubject+%3Flabel+%3Flat+%3Flong+WHERE+%7B%0D%0A%3Chttp%3A%2F%2Fdbpedia.org%2Fresource%2FBrandenburg_Gate%3E+geo%3Alat+%3FbrandenburgLat.%0D%0A%3Chttp%3A%2F%2Fdbpedia.org%2Fresource%2FBrandenburg_Gate%3E+geo%3Along+%3FbrandenburgLong.%0D%0A%3Fsubject+geo%3Alat+%3Flat.%0D%0A%3Fsubject+geo%3Along+%3Flong.%0D%0A%3Fsubject+rdfs%3Alabel+%3Flabel.%0D%0AFILTER%28xsd%3Afloat%28%3Flat%29+-+xsd%3Afloat%28%3FbrandenburgLat%29+%3C%3D+0.05+%26%26+xsd%3Afloat%28%3FbrandenburgLat%29+-+xsd%3Afloat%28%3Flat%29+%3C%3D+0.05+%26%26%0D%0Axsd%3Afloat%28%3Flong%29+-+xsd%3Afloat%28%3FbrandenburgLong%29+%3C%3D+0.05+%26%26+xsd%3Afloat%28%3FbrandenburgLong%29+-+xsd%3Afloat%28%3Flong%29+%3C%3D+0.05+%26%26%0D%0Alang%28%3Flabel%29+%3D+%22en%22%0D%0A%29.%0D%0A%7D+LIMIT+20 Brandenburg Gate)) \n\n===License===\nThe DBpedia dataset is licensed under the terms of ((http://en.wikipedia.org/wiki/Wikipedia:Text_of_the_GNU_Free_Documentation_License GNU Free Documentation License)).\n\nhttp://m.okfn.org/images/ok_buttons/od_80x15_red_green.png This material is Open Knowledge.\n" . . . . "2008-07-08T18:26:42"^^ . "==Use Cases==\n\nThis page lists use cases for the DBpedia data set together with references to ongoing work into these directions.\n\n{{ToC numerate=1}}\n\n===Revolutionize Wikipedia Search===\n\nWikipedia currently only supports keyword-based search and does not allow more expressive queries like \"Give me all cities in New Jersey with more than 10 000 inhabitants\" or \"Give me all Italian musicians from the 18th century.\" This lowers the overall utility of Wikipedia.\n\nOne major application domain for the DBpedia data set is to enable sophisticated queries against Wikipedia, which could revolutionize the access to this valuable knowledge source.\n\nHere are three prototypical search interfaces using different approaches to improve Wikipedia search:\n\n * ((http://dbpedia.org/search/ Search DBpedia.org)) combines free-text search with classification and directed browsing and enables you display DBpedia data together with data from interlinked data sources.\n * The ((http://wikipedia.3ba.se/ Leipzig Query Builder)) provides a easy-to-use interface for formulating queries against DBpedia as a set of matching patterns. \n * The ((http://dbpedia.openlinksw.com:8890/isparql OpenLink QBE visual query builder)) provides a graphical interface for formulating SPARQL queries against DBpedia.\n\nExamples of different queries that can be asked against DBpedia are found on the ((OnlineAccess)) and ((Datasets)) pages.\n\n===Include DBpedia Data in Your Web Page===\n\nOne nice thing about Wikipedia is that is kept up-to-date by a large community. Therefore, if you need a table on your Web page with, say, German cities, African musicians, Amiga computer games from the 90s, or whatever, you could generate this table with a SPARQL query against the DBpedia endpoint, and your table will stay up-to-date as Wikipedia changes.\n\nSuch tables can be implemented either by using JavaScript on the client, or with a scripting language like PHP on the server. The second option also allows you to cache query results. Two examples using JavaScript are:\n\n * ((http://dbpedia.org/docs/demo/english_musicians/english_musicians.html Web page with a table containing English musicians)) (Only works with Firefox)\n * ((http://dbpedia.org/docs/demo/german_cities/cities.htm Web page with a table containing German cities)) (Only works with Firefox)\n\nIf you choose to query DBpedia from within the browser, you can also think about using ((http://simile.mit.edu/exhibit/ Exhibit)), which is a nice JavaScript library for visualizing structured information. Exhibit takes JSON data as input, and the DBpedia.org SPARQL endpoint can produce SPARQL/JSON as output, so Exhibit can be used to visualize DBpedia SPARQL query results.\n\nThe link below leads to Exhibit visualization of one SPARQL query result:\n\n * ((http://www4.wiwiss.fu-berlin.de/exhibit/persons2.html Display all persons who were born in London))\n\nMany DBpedia properties have numeric values, so DBpedia data can also be used as input for spreadsheet calculations, for example, using the ((http://www.richk.net/os/doc/what.html Objectsheet)) JavaScript visual data environment.\n\n * ((http://richk.net/objectsheet/osc.html?file=sparql_query1.os Retrieve the birth and death dates of people, and calculate their lifetime from the query results)) (Only works with Firefox; requires ##signed.applets.codebase_principal_support = true## in the Firefox configuration)\n\nOther 3rd party applications integrating DBpedia into their websites include:\n\n * ((http://www.cems.uwe.ac.uk/xmlwiki/RDF/clubIndex.xq UK football clubs with maps of the birthplaces of their players))\n * ((http://www.cems.uwe.ac.uk/xmlwiki/RDF/groupIndex.xq Rock and Roll Groups and their discography as a SIMILE timeline))\n\n===Mobile and Geographic Applications===\n\nDBpedia contains information about 300,000 geographic locations and is interlinked with other geo-related data sources such as Geonames, the US Census, EuroStat, and the CIA world fact book. The data set contains geo-coordinates for many geographic locations which enable location-based SPARQL searches.\n\nThis makes DBpedia a valuable data source for location-based applications. DBpedia contains short abstracts about places which display nicely on mobile phones and PDAs, in up to 12 languages. \n\nAs current generation mobiles and PDAs start having GPS receivers, it is possible to implement nice location-based information services for them based on DBpedia data and the DBpedia SPARQL endpoint.\n\nOne example of such an application is ((http://wiki.dbpedia.org/DBpediaMobile DBpedia Mobile)) which demonstrates how the DBpedia data set can be used as entry point into the geo-spacial Semantic Web.\n\n=== Document Classification, Annotation and Social Bookmarking ===\n\nTerms from DBpedia can be used to annotate Web content. Compared to other subject hierarchies, like the classic ones used within libraries, DBpedia has the advantage that each subject is backed by a rich description including abstracts in 14 languages. Another advantage compared to static hierarchies is that DBpedia evolves as Wikipedia changes.\n\nOne application that uses DBpedia terms for the annotation of Web content is ((http://faviki.com/ Faviki)). Faviki is a social bookmarking tool which allows you to tag Web pages you want to remember with Wikipedia terms. This means that everybody uses the same names for tags from the world's largest collection of knowledge.\n\n===Multi-Domain Ontology===\n\nDBpedia is one of the largest multi-domain ontologies that currently exist. Compared to other ontologies which usually only cover specific domains, are created by relatively small groups of knowledge engineers, and are very cost intensive to keep up-to-date as domains change, DBpedia has the advantage that\n 1. it covers many domains and contains lots of instances.\n 2. it represents real community agreement.\n 3. it (automatically) evolves as Wikipedia changes.\n\nThe backdrop of DBpedia compared to hand-crafted ontologies like SUMO, OpenCyc, or Wordnet is that\n 1. DBpedia is less formally structured.\n 2. The data quality is lower and there are inconsistencies within DBpedia.\n\nAn approach to combine the advantages of both worlds is to interlink DBpedia with hand-crafted ontologies such as OpenCyc, SUMO, or WordNet, which enables applications to use the formal knowledge from these ontologies together with the instance data from DBpedia.\n\nDBpedia already contains 318,000 RDF links into WordNet. We are currently collaborating with the ((http://www.cycfoundation.org/ OpenCyc Foundation)) in order to interlink DBpedia with OpenCyc.\n\nInterlinking DBpedia with these ontologies could further extend query capabilities. For instance, knowing that \"cities are geographic places\" and \"mountains are geographic places\", a query engine could return cities as well as mountains for a query about geographic places.\n\n\n===Nucleus for the Web of Data===\n\nThe Web is currently changing from a medium to publish and share text documents into a medium to publish and share data.\n\nThis transition is facilitated by ideas from the ((http://www.w3.org/2001/sw/ Semantic Web)) community and initiatives like the ((http://esw.w3.org/topic/SweoIG/TaskForces/CommunityProjects/LinkingOpenData W3C Linking Open Data)) project.\n\nThe DBpedia data set is served as Linked Data ([((http://www.w3.org/DesignIssues/LinkedData.html 1))], [((http://sites.wiwiss.fu-berlin.de/suhl/bizer/pub/LinkedDataTutorial/ 2))]) which allows the data set to be interlinked with other data sets and ontologies.\n\nAs DBpedia covers many domains and provides data-backed identifiers for 1.95 million concepts, it is developing into an interlinking-hub for other data sets.\n\nPlease see ((Interlinking)) for an overview about the data sets that are currently interlinked with DBpedia and ((http://esw.w3.org/topic/SweoIG/TaskForces/CommunityProjects/LinkingOpenData W3C Linking Open Data)) for a list of other data sets and ontologies that are published on the Web as Linked Data.\n\n===Support Wikipedia Authors with Editing Suggestions===\n\nOne strength of Wikipedia, and a central factor for its growth, is that it does not restrict contributors. On the other hand, this leads to many inconsistencies within Wikipedia, especially between the 251 different language versions. \n\nExtracting structured data from all 251 versions of DBpedia and interlinking this data with background knowledge from ontologies like OpenCyc, SUMO, or WordNet, allows different types of consistency checks. For instance:\n\n 1. Population of Berlin within infoboxes in different languages.\n 2. Classification of a person in the category German cities.\n\nTherefore, one promising direction for future work is to use DBpedia knowledge for consistency checks and to develop tools that support Wikipedia authors by offering editing/correction suggestions.\n" . . . . "2008-08-18T20:46:07"^^ . "===Next Steps===\n\nDBpedia.org is still very prototypical. Our next steps are:\n\n * --Integrate both data sets into a single data set under a shared URI schema. The new URIs for Wikipedia concepts are likely to be http://DBpedia.org/resource/{article name from the English edition of Wikipedia}.--\n * --Extend the data set to all 1.6 million concepts within the English version of Wikipedia. This will lead to a RDF data set containing about 20-50 million triples.--\n * --Set up a better server to serve the integrated data set as linked data and to provide a SPARQL endpoint over the data set.-- //Data now hosted entirely in and SPARQL endpoint provided by ((http://virtuoso.openlinksw.com/ OpenLink Virtuoso)), courtesy of ((http://www.openlinksw.com/ OpenLink Software)). See ((Architecture)).//\n * Improve the information extraction algorithms and apply some data cleansing heuristics to extracted information.\n * Put some user-friendly search and browse interfaces on top of DBpedia. Candidates include Longwell. --((http://dbpedia.org/search/ Search DBpedia.org))--\n * Experiment with domain knowledge and inference over the data set.\n * Implement some cool client applications for specific use cases.\n * Set up the data extraction process to run on a regular schedule.\n * Make the DBpedia data set more useful by interlinking it with additional data sources. Candidates include \n * --((http://www4.wiwiss.fu-berlin.de/dblp/ DBLP Bibliography))--\n * --the ((http://sites.wiwiss.fu-berlin.de/suhl/bizer/bookmashup/index.html RDF Book Mashup))--\n * --the ((http://musicbrainz.org/ MusicBrainz)) database--\n * --((http://www.freebase.com/signin.html Freebase))--\n * --((http://www4.wiwiss.fu-berlin.de/gutendata/ Project Gutenberg))--\n * --((http://www4.wiwiss.fu-berlin.de/factbook/ CIA World Factbook))--\n * --statistical data from ((http://www4.wiwiss.fu-berlin.de/eurostat/ EuroStat))--\n * --classification information from the ((http://www.mpi-inf.mpg.de/%7Esuchanek/publications/www2007.pdf YAGO)) data set--\n * Christian's Flickr Wrapper //(this appears to have been at least partially done, as of ((Changelog DBpedia 3.0)))//\n * OpenCyc (see work on Open Cyc Foundation) //(this appears to have been at least partially done, as of ((Changelog DBpedia 3.0)))//\n * Improve the classification of DBpedia entries. We are currently trying different approaches, including importing classification information from the ((http://www.mpi-inf.mpg.de/%7Esuchanek/publications/www2007.pdf YAGO)) data set and from ((http://www.freebase.com/signin.html Freebase)). An overview about the work is given in this ((http://www.mkbergman.com/?p=367 blog-post by Michael Bergman)).\n * Give feedback to the Wikipedia community on how their templates could be changed to ease information extraction.\n * Grow the DBpedia community and engage more interested parties into the project. We currently highly welcome any support in improving classification and linking external data sets to DBpedia. See also ((http://esw.w3.org/topic/SweoIG/TaskForces/CommunityProjects/LinkingOpenData Linking Open Data)) project for the last point.\n * Extract infobox data from more ((http://meta.wikimedia.org/wiki/List_of_Wikipedias language versions)) of Wikipedia. Top candidates, in order of official Wikipedia article count --\n * --English--\n * --German--\n * --French--\n * --Polish--\n * --Japanese--\n * --Italian--\n * --Dutch--\n * --Portuguese--\n * --Spanish--\n * Russian\n * --Swedish--\n * --Chinese--\n * Norwegian (Bokmål)\n * Finnish\n * Catalan \n * Improve extraction of infobox data from supported non-English versions of Wikipedia.\n * Look for somebody who wants to implement chemistry and bio extractors so that we also get the non-infobox data for these domains.\n * Help people who run Semantic Web search engines to crawl the DBpedia data.\n * --Get a proper logo for DBpedia. Suggestions welcome :-)-- //WackoWiki won't let me text-link to the image, so here it is in all its graphical glory// -- ((http://wiki.dbpedia.org/images/dbpedia_logo.png))\n" . . . . "2008-06-05T18:50:42"^^ . "==Community==\n\nDBpedia is an open community project and highly values new contributors. The DBpedia community collaborates using the following tools:\n\n===Mailing Lists===\n\nWe are very interested in hearing your opinion about DBpedia and getting ideas for further improvements.\n\nPlease send feedback and ideas to the ((https://lists.sourceforge.net/lists/listinfo/dbpedia-discussion DBpedia-discussion)) mailing list. This mailing list is the main forum for DBpedia related discussions.\n\nIf you just want to stay up-to-date about what is happening around DBpedia, you can subscribe to our low-traffic ((https://lists.sourceforge.net/lists/listinfo/dbpedia-announcements DBpedia-announcements)) mailing list.\n\n===Quality Assurance and Bug Tracking===\n\nIn order to improve the DBpedia data quality we need your feedback.\n\nWhat problems occurred to you when loading the data sets? What kind of wrong extractions did you see in the data? Are there any undetected units, currencies, etc? Where did problems occur with list parsing? \n\nWe try to extensively analyze the data sets, but also rely on the support of users and the community to establish a better extract-release cycle for the DBpedia data sets.\n\nBefore you report a bug, please use the ((http://www4.wiwiss.fu-berlin.de/dbp-debug/ DBpedia Live Debug Interface)) to check if your bug still occurs with the current DBpedia extraction code. \n\nPlease submit all known problems to the DBpedia bugtracker at: http://sourceforge.net/tracker/?group_id=190976\n\nPlease include:\n * the data set in which you found the problem\n * the triples concerned\n * a description of the problem and \n * how it should look (from your point of view)\n\nWe will try to come up with a solution, fix the extraction algorithms, and publish improved data sets as soon as possible. \n\nOne useful tool for stress-testing the extraction process is the ((http://richard.cyganiak.de/2007/09/random-dbpedia.php Random DBPedia Page)).\n\n===Blog===\n\nWe also discuss the project on our ((http://blog.dbpedia.org Blog)).\n\n===Facebook Group===\n\nThere exists a ((http://facebook.com/group.php?gid=4340232249 Facebook group)) devoted to DBpedia.\n\n\n===DBpedia Consulting===\n\nOccasionally we receive requests for commercial support and consulting regarding DBpedia data sets, DBpedia applications, and the Semantic Web in general. Please contact ((http://www.informatik.uni-leipzig.de/~auer/ Sören Auer)) and ((http://bizer.de Chris Bizer)) regarding consulting inquiries.\n\n\n\n" . . . . "2007-08-18T13:45:57"^^ . "===Chris Bizer===\n\nI'm a researcher at Freie Universität Berlin. \n\nI coordinate several open source projects and try to contribute to several community efforts within the Semantic Web area. \n\nMy current projects include: \n\n * DBpedia.org \n * W3C SWEO Community Project: Linking Open Data on the Semantic Web \n * D2R Server \n * D2RQ \n * RAP - RDF API for PHP \n * NG4J - Named Graphs API for Jena \n * Disco - Hyperdata Browser \n * Semantic Web Client Library \n * WIQA Framework \n * Named Graphs \n * Fresnel \n * Developers Guide to Semantic Web Toolkits \n * Semantic Web Trust and Security Resource Guide \n\nFor more information please refer to my homepage\n((http://www.bizer.de))" . . . . "2007-08-20T11:45:11"^^ . "((http://jens-lehmann.org Homepage))" . . . . "2008-02-05T00:05:52"^^ . "==Downloads==\n\nThis pages provides the DBpedia dataset for download. The dataset has been extracted from the July 16th, 2007 (enwiki20070716)((http://download.wikimedia.org/ database dump of Wikipedia)).\n\nThe DBpedia dataset is licensed under the terms of ((http://en.wikipedia.org/wiki/Wikipedia:Text_of_the_GNU_Free_Documentation_License GNU Free Documentation License)). http://m.okfn.org/images/ok_buttons/od_80x15_red_green.png\n\nBecause of its size, the dataset has been split into different files. All files are bz2 packed and contain N-Triple data.\n\n#|\n|| **Link** | **Size** (packed/unpacked/triples) | **Description** | Properties ||\n|| ((http://dbpedia.org/docs/downloads/2007-08-30/articles.tar Articles)) | 197MB/1.3GB/7.6M | Descriptions of all 1.95 million concepts within the English version of Wikipedia including English titles and English short abstracts (max. 500 chars long), thumbnails, links to the corresponding articles in the English Wikipedia. This is the DBpedia basis file which should be loaded into each DBpedia repository. | rdfs:label rdfs:comment foaf:image foaf:depiction foaf:page ||\n\n|| ((http://dbpedia.org/docs/downloads/2007-08-30/articles_longabstract_en.nt.bz2 Extended Abstracts)) | 380MB/1.39GB/2.1M | Additional, extended English abstracts (max. 3000 chars long). | dbpedia:abstract ||\n\n|| ((http://dbpedia.org/docs/downloads/2007-08-30/articles_externallinks.nt.bz2 External Links)) | 30MB/221MB/1.63M | Links to external web pages about a concept. | dbpedia:reference ||\n\n|| ((http://dbpedia.org/docs/downloads/2007-08-30/articles_category.nt.bz2 Articles Categories)) | 42MB/780MB/5.2M | Links from concepts to categories using the SKOS vocabulary. | skos:subject ||\n\n|| ((http://dbpedia.org/docs/downloads/2007-08-30/articles_languages.tar Additional Languages)) | 171MB/2.98GB/5.7M | Additional titles, short abstracts and Wikipedia article links in 13 languages (German, French, Spanish, Italian, Portuguese, Polish, Swedish, Dutch, Japanese, Chinese, Russian, Finnish, Norwegian). | wikipage-{lang} ||\n\n|| ((http://dbpedia.org/docs/downloads/2007-08-30/articles_languages_longabstracts.tar Languages Extended Abstracts)) | 355MB/1.6GB/1.9M | Extended abstracts in 13 languages. | dbpedia:abstract ||\n|| ((http://dbpedia.org/docs/downloads/2007-08-30/infoboxes.nt.bz2 Infoboxes)) | 118MB/2.03GB/15.5M | Information that has been extracted from Wikipedia infoboxes. | see Infobox Properties||\n\n|| ((http://dbpedia.org/docs/downloads/2007-08-30/infoboxes.properties.nt.bz2 Properties)) | 400kb/8MB/57k | All properties / predicates used in infoboxes. | rdf:type ||\n\n|| ((http://dbpedia.org/docs/downloads/2007-08-30/categories_label.nt.bz2 Categories (Labels) )) | 3MB/35MB/261k | Labels for Categories. | rdfs:label ||\n\n|| ((http://dbpedia.org/docs/downloads/2007-08-30/categories_skos.nt.bz2 Categories (Skos) )) | 7MB/158MB/1M | Information which concept is a category and how categories are related using the SKOS Vocabulary. | skos:prefLabel skos:broader rdf:type ||\n\n|| ((http://dbpedia.org/docs/downloads/2007-08-30/persons.nt.bz2 Persons)) | 4MB/65MB/560k | Information about 80,200 persons (date and place of birth etc.) extracted from the German Wikipedia, represented using the FOAF vocabulary. | foaf:name foaf:givenname foaf:surname dbpedia:birthPlace dbpedia:birth dbpedia:deathPlace dbpedia:death dc:description rdf:type||\n\n|| ((http://dbpedia.org/docs/downloads/2007-08-30/yago_classes.nt.bz2 Yago Classes)) | 15MB/291MB/2M | Dataset containing rdf:type Statements for all DBpedia instances using YAGO classification algorithm. | rdf:type ||\n\n|| ((http://dbpedia.org/docs/downloads/2007-08-30/yago-class-hierarchy.nt.bz2 Yago Class Hierarchy)) | 1MB/15MB/117k | RDFS Hierarchy of all Yago Classes | rdfs:label rdfs:subClassOf ||\n\n|| ((http://dbpedia.org/docs/downloads/2007-08-30/wordnet_classes.nt.bz2 Wordnet Classes)) | 2MB/53MB/338k | Classification links to W3C Wordnet. | dbpedia:wordnet_type ||\n\n\n|| ((http://dbpedia.org/docs/downloads/2007-08-30/geocoordinates.nt.bz2 Geographic coordinates)) | 3MB/63MB/450k | Geographic coordinates extracted from Wikipedia. | geo:lat geo:long geonames:featureClass geonames:featureCode ||\n\n\n|| ((http://dbpedia.org/docs/downloads/2007-08-30/homepages.nt.bz2 Homepages)) | 3MB/24MB/200k | Links to external webpages. | foaf:homepage||\n\n|| ||\n\n|| ((http://dbpedia.org/docs/downloads/2007-08-30/links_geonames.nt.bz2 Links to Geonames)) | 800kB/10MB/86k | Links between geographic places in DBpedia and data about them in the Geonames database | owl:sameAs ||\n\n\n|| ((http://dbpedia.org/docs/downloads/2007-08-30/links_bookmashup.nt.bz2 Links to RDF Bookmashup))| 70kB/1.3MB/9k| Links between books in DBpedia and data about them provided by the RDF Book Mashup. | owl:sameAS||\n\n|| ((http://dbpedia.org/docs/downloads/2007-08-30/links_dblp.nt.bz2 Links to DBLP))| 3kB/30kB/200| Links between computer scientists in DBpedia and their publications in the DBLP database. | owl:sameAS||\n\n|| ((http://dbpedia.org/docs/downloads/2007-08-30/links_eurostat.nt.bz2 Links to Eurostat))| 2kB/20kB/137 | Links between countries and regions in DBpedia and data about them from Eurostat. | owl:sameAs ||\n\n|| ((http://dbpedia.org/docs/downloads/2007-08-30/links_factbook.nt.bz2 Links to CIA-Factbook)) |3kB/30kB/230 | Links between countries in DBpedia and data about them from CIA Factbook. | owl:sameAs||\n\n|| ((http://dbpedia.org/docs/downloads/2007-08-30/links_gutenberg.nt.bz2 Links to Project Gutenberg)) | 40kB/440kB/2500 | Links between writers in DBpedia and data about them from Project Gutenberg. | owl:sameAs ||\n\n|| ((http://dbpedia.org/docs/downloads/2007-08-30/links_musicbrainz.nt.bz2 Links to Musicbrainz)) | 600kB/4MB/23k | Links between artists, albums and songs in DBpedia and data about them from Musicbrainz. | owl:sameAs||\n\n|| ((http://dbpedia.org/docs/downloads/2007-08-30/links_quotationsbook.nt.bz2 Links to Quotationsbook)) | 22kB/300kB/2500 | Links between persons in DBpedia and data about them from Quotationsbook. | owl:sameAs ||\n\n|| ((http://dbpedia.org/docs/downloads/2007-08-30/links_revyu.nt.bz2 Links to Revyu)) | | Links to Reviews about things in Revyu. | owl:sameAs||\n\n|| ((http://dbpedia.org/docs/downloads/2007-08-30/links_uscensus.nt.bz2 Links to US Census)) | 150kB/2MB/12k | Links between US cities and states in DBpedia and data about them from US Census. | owl:sameAs||\n\n|| ((http://dbpedia.org/docs/downloads/2007-08-30/photoCollections.nt.gz Links to the flikr wrappr)) | 22MB/1.95M | Links between DBpedia concepts and photo collections depicting them generated by the ((http://www4.wiwiss.fu-berlin.de/flickrwrappr/ flikr wrappr)). | dbpedia:hasPhotoCollection||\n\n|| ((http://dbpedia.org/docs/downloads/2007-08-30/pagelinks.tar PageLinks)) | 368MB/8.15GB/62.8M | Dataset containing internal links between DBpedia instances. The dataset was created from the internal pagelinks between Wikipedia articles. The dataset might be useful for structural analysis, data mining or for ranking DBpedia instances using PageRank or similar algorithms. It's data is NOT available at our Sparql-Endpoint | dbpedia:wikilink ||\n\n|| ((http://dbpedia.org/docs/downloads/2007-08-30/wikicompanyLinks.nt.gz Links to Wikicompany)) | 116kB/1.3MB/8k | Links between companies in DBpedia and companies in ((http://wikicompany.org/ Wikicompany)). Needs to be updated to the latest version: ((http://wikicompany.org/dbpedia/wikicompany-opendata-current.bz2 wikicompany-opendata-current.bz2))| owl:sameAs ||\n\n|| ((http://wiki.dbpedia.org/files/links_cyc.nt.bz2 Links to Cyc)) | 485kB/6.1MB/45k | Links between DBpedia and ((http://opencyc.org Cyc )) concepts. ((OpenCyc Details)). | owl:sameAs ||\n\n|| ((http://dbpedia.org/docs/downloads/2007-08-30/qdos.zip Links to QDOS)) | 270kB/2MB/8k | Links between data about people in DBpedia and ((http://qdos.com/ QDOS)). | owl:sameAs||\n\n|#\n" . . . . "2008-07-07T23:14:29"^^ . "==The DBpedia Information Extraction Framework==\n\nThe DBpedia community uses a flexible and extensible framework to extract different kinds of structured information from Wikipedia. \n\nThe DBpedia information extraction framework is written using PHP 5. The framework is available from the ((http://dbpedia.svn.sourceforge.net/viewvc/dbpedia/ DBpedia SVN)) (GNU GPL License).\n\nThis pages describes the DBpedia information extraction framework. The framework consists of the interfaces: ##Destination##, ##Extractor##, ##PageCollection##, and ##RDFnode##, plus the essential classes ##ExtractionGroup##, ##ExtractionJob##, ##ExtractionManager##, ##ExtractionResult##, and ##RDFtriple##.\n\n{{ToC numerate=1}}\n\n=== Getting started ===\n\nTo get the framework running on your local PC, it is recommended to start with the pre-configured files //start.php// or //webStart.php//. You will find these in the DBpedia root folder. The extraction code is available via [[http://sourceforge.net/projects/dbpedia/ Sourceforge]] SVN (do not download the release version at Sourceforge).\n\nIf you want to create your own dumps or work within your IDE or on the console, you should use //start.php//. If you first want to learn how DBpedia extraction works, or test /debug new extractors, //webStart.php// might best suit your needs, as it gives you a comfortable web debug interface, similar to [[http://www4.wiwiss.fu-berlin.de/dbp-debug/]]. Make sure to download [[http://sourceforge.net/projects/rdfapi-php/ RAP - RDF API for PHP]] first if you want to use the web interface.\n \n=== Functional overview ===\n\nThe code extraction process is triggered via the ~ExtractionManager, which starts one or more ~ExtractionJobs. An ~ExtractionJob combines one or more ~ExtractionGroups with a ~PageCollection. The ~PageCollection is the data source, e.g., all articles from the Wikipedia SQL-Dump. ~ExtractionGroups consist of a Destination and one or more Extractors. Possible Destinations include your console, NTriple files and the web interface. Of course you are free to write your own destinations (e.g., databases, RDF/XML files). \n\nExtractors are designed for single specific purposes, e.g., the ~InfoboxExtractor reads out information from Wikipedia Infoboxes. The ~ShortAbstractExtractor gets the first paragraph from an article and so on. DBpedia comes with extractors for many purposes already, though you are invited to add your own.\nExtractors are the core of the data extraction process, as they parse and convert the Wikipedia pages. For each page, the extracted data is stored in an instance of ~ExtractionResult. \n\n~ExtractionGroups connect Extractors with Destinations. If you want to store the ~ExtractionResults from all Extractors in a single file, one ~ExtractionGroup is sufficient. Just create a new ~ExtractionGroup with a Destination and add the extractors you need.\nIf you intend to produce separate output files for each Extractor, you will need an own ~ExtractionGroup for each extractor (as is done in the standard settings in //start.php//). Finally you will need to run your ~ExtractionJob through an instance of an ~ExtractionManager.\n\n\n=== The Interfaces ===\n\n====Interface Destination====\n\nDestinations store extraction results. Included Destinations are NTriple files (##~NTripleDumpDestination##), the console (##~SimpleDumpDestination##) and a web interface (##~WebDebugDestination##).\n\nA Destination must include the following methods:\n\n * ##start()##: Initializes the Destination (e.g., creates a new NTriple file). Is called once at the beginning of an ~ExtractionJob.\n * ##accept($extractionResult, $revisionID)##: Requires an ~ExtractionResult and a page revision. Reads out each triple from the ~ExtractionResult and prints it out or stores it in a file. Is called for each page.\n *##finish()##: Closes the destination. Is called once at the end of an ~ExtractionJob.\n\n%%\ninterface Destination {\n public function start();\n public function accept($extractionResult, $revisionID);\n public function finish();\n}\n%%\n\n\n====Interface Extractor====\n\nExtractors include the actual data extraction and parsing functions. An Extractor should\nbe written for a single specific purpose.\n\nAn Extractor must have the methods:\n * ##start($language)##: Initializes the extractor and sets the language. Is called once at the beginning of an extraction job.\n * ##extractPage($pageID, $pageTitle, $pageSource)##: Includes the actual extraction process. Constructs a new ~ExtractionResult, extracts data from the source page and stores the extracted data in the ~ExtractionResult. Is called for each page and must return an ~ExtractionResult.\n * ##finish()##: Closes the extractor. Is called once at the end of an ~ExtractionJob.\n\n\n%%\ninterface Extractor {\n /** @return uri */\n public function getExtractorID();\n public function start($language);\n /** @return ExtractionResult */\n public function extractPage($pageID, $pageTitle, $pageSource);\n /** @return ExtractionResult */\n public function finish();\n}\n%%\n\n\n====Interface ~PageCollection====\n\n~PageCollections are the data sources for extraction. A ~PageCollection loads the page source code for a specific language and one or more pages (Implementations: ~LiveWikipedia, ~DatabaseWikipedia).\n\nA ~PageCollection must have the methods:\n * ##getLanguage()##: returns the language\n * ##getSource($pageTitle)##: returns the Wikipedia source code for the page $pageTitle\n * ##getRevision($pageTitle)##: returns the page revision\n\n%%\ninterface PageCollection {\n public function getLanguage();\n public function getSource($pageTitle);\n public function getRevision($pageTitle);\n}\n%%\n\n\n====Interface RDFnode====\n\nRDFnodes take care of proper RDF representation of data.\n\nURI, RDFliteral, and ~RDFblankNode are implementations of RDFnodes.\n\nThe most important method is ##toNTriples()##, which returns a string containing\nthe NTriples representation of the RDFnode.\nIn addition, information such as datatype, language, and lexical form of\nliterals can be read out from an RDFnode of class RDFliteral.\n\nA RDFnode must include the methods:\n *##isURI()##: Returns ##true## if the node is an URI, ##false## else.\n *##isBlank()##: Returns ##true## if the node is a blanknode, ##false## else.\n *##isLiteral()##: Returns ##true## if the node is a literal, ##false## else.\n *##getURI()##: Returns the URI if the node is an URI, ##null## else.\n *##getLexicalForm()##: Returns the literal text if the node is a literal, ##null## else.\n *##getLanguage()##: Returns the language if the node is a literal, ##null## else.\n *##getDatatype()##: Returns the datatype if the node is a literal, ##null## else.\n **##toNTriples()##: Returns the NTriple representation of a RDF node.\n\n%%\ninterface RDFnode {\n public function isURI();\n public function isBlank();\n public function isLiteral();\n public function getURI();\n public function getBlankNodeLabel();\n public function getLexicalForm();\n public function getLanguage();\n public function getDatatype();\n public function toNTriples();\n}\n%%\n\n===Essential Classes===\n\n\n====Class ~ExtractionGroup====\n\n~ExtractionGroups combine one or more Extractors with one Destination. If you want to create a single Dump for each Extractor in use, you will need to create a new ~ExtractionGroup for every Extractor, as an ~ExtractionGroup can hold only a single Destination.\n\nThe most important methods are:\n *##__construct($destination, $metadestination = NULL)##: $destination is an object of a class, implementing the interface Destination. $metadestination is an optional Destination, where meta information can be stored. It is mainly used by the ~InfoboxExtractor, which collects all predicate names in a metadestination.\n *##addExtractor($extractor)##: Adds a new Extractor the group.\n\n====Class ~ExtractionJob====\n\nAn ~ExtractionJob combines one or more ~ExtractionGroups (Extractors + Destination) \nwith one ~PageCollection (data source). ~ExtractionJobs are executed by the ~ExtractionManagaer.\n\nThe most important methods are:\n *##__construct($pageCollection, $pageTitleIterator)##: Requires a ##PageCollection## and an iterator. The iterator is required in order to cycle properly over all pages of a ##PageCollection##.\n *##addExtractionGroup($group)##: Adds a new ~ExtractionGroup to the job.\n\n====Class ~ExtractionManager====\n\nThe ~ExtractioManager executes ~ExtractionJobs.\nCycling over all ~ExtractionGroups, the extraction manager first initializes the Extractors and the Destination (via their ##start()## method).\n\nNext, it iterates over all pages from a ~PageCollection and passes the page source to each Extractor, triggering its ##extractPage()## method.\n\nFinally it reads out the ~ExtractionResults from every Extractor and passes it to\nthe respective Destination. The ##finish()## methods from Extractors and the Destination\nare called, in order to close them properly.\n\nThe most important methods is:\n *##execute($job)##: Starts the job as described above. Requires an object of class ~ExtractionJob.\n\n====Class ~ExtractionResult====\n\nCollects RDFtriples while extraction is in process. Each wiki page needs an own instance of ~ExtractionResult.\n\nThe most important methods are:\n\n *##__construct($pageID, $language, $extractorID)##: $pageID: String, containing the //English// Wikipedia page title. $language: String containing the language. $extractorID: String containing the extractorID.\n *##addTriple($s, $p, $o)##:Adds new Triples to the Result. $s is a String containing the //subject//, $p the //predicate// and $o the //object//.\n *##getTriples()##: Returns an array of //RDFtriples//.\n\n\n====Class RDFtriple====\n\nRDFtriple combines a subject, a predicate, and an object, into an RDFtriple. You will usually create RDFnodes via RDFtriples, e.g. ##$subject = RDFtriple::URI(\"ResourceName\");## as RDFtriple can add a common URI prefix for each triple. \n\nThe most important methods are:\n *##__construct($subject, $predicate, $object)##: Requires a string containing the subject, the predicate and the object.\n *##toString()##: Returns the RDFtriple in NTriples format.\n *##static function blank($label)##: Returns a ~RDFblankNode. $label must be string containing the Blanknode label.\n *##static function URI($uri)##: Returns an URI. $uri is a string containing the URI.\n *##static function literal($value, $datatype = null, $lang = null)##: Returns an ~RDFliteral. $value must be of datatype String; else an error message will be thrown, as $value will be serialized for NTriples and this only works with string variables. $datatype and $lang are optional parameters. $datatype is a string containing the (RDF-) datatype of $value, $lang the language." . . . . "2007-09-09T12:24:56"^^ . "I'm a Semantic Web researcher at Freie Universität Berlin." . . . . "2008-07-08T19:11:43"^^ . "==Interlinking DBpedia with other Data Sets==\n\n**Linked Data** is a method to publish data on the Web and to interlink data between different data sources. Linked Data can be accessed using Semantic Web browsers, just as traditional Web documents are accessed using HTML browsers. However, instead of following document links between HTML pages, Semantic Web browsers enable surfers to navigate between different data sources by following RDF links. RDF links can also be followed by robots or Semantic Web search engines in order to crawl the Semantic Web. See ((http://www.w3.org/DesignIssues/LinkedData.html Web Design Note about Linked Data)) and ((http://sites.wiwiss.fu-berlin.de/suhl/bizer/pub/LinkedDataTutorial/ How to publish Linked Data on the Web)) for more information about Linked Data.\n\nThe DBpedia data set is interlinked with various other data sources. The diagram below gives an overview of these data sources:\n\nhttp://www4.wiwiss.fu-berlin.de/bizer/dbpedia/dbpedia-links.jpg\n\n#|\n|| **Data Set** | **Description** | **Number of Links** | **Example Link** (owl:sameAs) ||\n|| ((http://www.geonames.org/ontology/ Geonames)) | Provides information about geographic features. | 85,000 | ((http://dbpedia.org/resource/Cambridge Cambridge)) ||\n|| ((http://musicbrainz.org/ MusicBrainz)) | Provides information about artists and music. | 23,000 | ((http://dbpedia.org/resource/Portishead Portishead)) ||\n|| ((http://esw.w3.org/topic/WordNet WordNet)) | W3C RDF/OWL representation of the WordNet ontology. | 330,000 | ((http://dbpedia.org/resource/Air_France Air France)) ||\n|| ((http://www4.wiwiss.fu-berlin.de/factbook/ World Factbook)) | Provides information about countries. | 200 | ((http://dbpedia.org/resource/France France)) ||\n|| ((http://www4.wiwiss.fu-berlin.de/eurostat/ EuroStat)) | Provides information about European countries and regions. | 200 | ((http://dbpedia.org/resource/France France)) ||\n|| ((http://sites.wiwiss.fu-berlin.de/suhl/bizer/bookmashup/index.html Book Mashup)) | Provides information about books. | 7,000 | ||\n|| ((http://www4.wiwiss.fu-berlin.de/dblp/ DBLP Bibliography)) | Provides information about scientific publications. | 200 | ((http://dbpedia.org/resource/Tim_Berners-Lee Tim Berners-Lee)) ||\n|| ((http://www4.wiwiss.fu-berlin.de/gutendata/ Project Gutenberg)) | Provides information about authors and open access to their work. | 2,500 | ((http://dbpedia.org/resource/John_Bunyan John Bunyan)) || \n|| ((http://www4.wiwiss.fu-berlin.de/flickrwrappr/ flickr wrappr)) | A wrapper around flickr that tries to generate a photo collection for each DBpedia concept. | 1,950,000 | ((http://www4.wiwiss.fu-berlin.de/flickrwrappr/photos/Brandenburg_Gate Brandenburg Gate)) || \n|#\n\nhttp://sites.wiwiss.fu-berlin.de/suhl/bizer/dbpedia/LoDLogo250.png\n\nDBpedia is part of the ((http://esw.w3.org/topic/SweoIG/TaskForces/CommunityProjects/LinkingOpenData W3C Linking Open Data)) community project, an effort to publish and interlink various open data sources. As of September 2007, this effort has built a Web of interlinked data sources that amounts to more than 2 billion RDF triples. Please refer to the project's ((http://esw.w3.org/topic/TaskForces/CommunityProjects/LinkingOpenData/DataSets data sets page)) for a list of all published data sets.\n\n====Linking to DBpedia from Your FOAF Profile====\n\nAs Wikipedia contains articles about many general-purpose concepts, DBpedia can also be seen as a huge ontology that assigns URIs to plenty of concepts and backs these URIs with with dereferenceable RDF descriptions.\n\nIf you have a ((http://www.foaf-project.org/ FOAF)) profile and you need terms for describing your interests or your location, you might consider using DBpedia URIs. This will allow RDF browsers like ((http://sites.wiwiss.fu-berlin.de/suhl/bizer/ng4j/disco/ Disco)), ((http://www.w3.org/2005/ajar/tab Tabulator)), or the ((http://demo.openlinksw.com/DAV/JS/tests/rdfbrowser/index.html OpenLink Data Web Browser)), to browse from your FOAF profile into DBpedia. The links also allow clients like the ((http://sites.wiwiss.fu-berlin.de/suhl/bizer/ng4j/semwebclient/ Semantic Web Client Library)) to answer SPARQL queries over both data sources.\n\nThe example below shows an RDF link from ((http://richard.cyganiak.de/foaf.rdf Richard Cyganiak's FOAF profile)) which states that he is based near Berlin.\n\n%%(email)\n foaf:based_near %%\n\nYou can use the Disco browser to follow this link by clicking ((http://www4.wiwiss.fu-berlin.de/rdf_browser/?browse_uri=http%3A//richard.cyganiak.de/foaf.rdf#cygri here)).\n\nDBpedia URIs can also be used to express your interests within your FOAF profile. For example:\n\n%%(email)\n foaf:topic_interest .\n foaf:topic_interest .%%\n\nAnother use case for DBpedia URIs could be to categorize or tag blog posts, wiki pages, or other documents. For example:\n\n%%(email)\n dc:subject ; \n foaf:primaryTopic ; \n foaf:topic ;%%\n\nAn interesting project that allows you to review anything that has a URI is the ((http://revyu.com/ RevYu)) project run by Tom Heath. A RevYu review about a film in DBpedia could look like this:\n\n%%(email)\n@prefix rev: . \n@prefix foaf: . \n@prefix rdfs: . \n\n<> a rev:Review; \n rdfs:label \"Review of Cold Mountain, by Alice\"; \n foaf:primaryTopic ; \n rev:text \"This movie sucks. Miss it.\"; \n rev:rating 1; \n rev:minRating 1; \n rev:maxRating 5; \n rev:reviewer .%%\n" . . . . 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