DBpedia Applications


This page lists a number of applications (in no particular order) to get you started using DBpedia:


Contents

Faceted Browsers

User Applications

  • DayLikeToday presents facts from DBpedia scoped to a given day and presented via a timeline control
  • AboutThisDay.com is a date-based “on this day in history” style search engine of facts like births & deaths of people, events and holidays. Provides year range and category filters to refine the results and a home-grown popularity algorithm to sort the results.
  • DBpedia Mobile – provides a map view annotated with DBpedia entities and information from other knowledge bases
  • RelFinder – enter objects and find out what connects them (Flash-based)
  • SemLens – uses scatter plots for the analysis of DBpedia data and semantic lenses for further exploration (Flash-based)
  • DBpedia Navigator – navigate through DBpedia data (declared offline for some months as of 2010–06–06)

Query Results Visualization

URI Lookup Services

Query Builders

SPARQL query interfaces

Browser enhancements

  • DBpedia UserScript – enhances Wikipedia pages with links to their corresponding DBpedia page
  • OpenLink Data Explorer (ODE) – allows Web users to explore the raw data and data relationships that underlie any Web page. The extension enables users to switch between Hypertext and Hyperdata link traversal of Web data.
  • Sztakipedia – uses DBpedia Spotlight, among other tools to suggest links when editing Wikipedia pages

Annotation and/or Information Extraction

  • DBpedia Spotlight – tool for annotating mentions of DBpedia resources in natural language text, providing capabilities useful for Named Entity Recognition, Name Resolution, amongst other information extraction tasks.
  • WordPress PoolParty Plugin – helps to make Word Press blogs and websites more understandable by linking posts with key terms and key terms with other key terms
  • Vague Places extractor – experimental tool for extracting area polygons/multipolygons using the name of a place, or simply extract DBpedia points in a WKT format. Examples can be found on the developers blog. For more insight the project report is available online.
  • ImageSnippets™ – an application for creating and editing metadata about images using linked data (structured data) techniques, in beta testing as of this writing, which leverages and builds on the DBpedia data set. Their SPARQL endpoint is updated daily, and they have built a lightweight ontology for the project [1] [2] [3].

Natural Language Processing (NLP) Services

  • AlchemyAPI – cloud-based text mining platform provides semantic tagging through a set of natural language processing capabilities including named entity extraction, sentiment analysis, concept tagging, author extraction, relations extraction, web page cleaning, language detection, keyword extraction, quotations extraction, intent mining, and topic categorization.
  • Cicero On-Demand API (replaced Extractiv) – provides a RESTful interface that wraps LCC's Cicero Lite and other NLP components.
  • DBpedia Spotlight – tool for annotating mentions of DBpedia resources in natural language text, providing capabilities useful for Named Entity Recognition, Name Resolution, amongst other information extraction tasks.
  • Lupedia enrichment service – handles texts of up to 7000 characters, looking up discovered entities in the DBpedia knowledge base and returning the enriched text.
  • SpazioDati – develops APIs and Web Widgets that leverage Big Data & Semantic Web technologies to tap into multidimensional live dataspaces, which aggregate hundreds of open and proprietary European data sources. SpazioDati also offers Data Augmentation services to help small and large organizations to exploit the value of their information as well as services to help them manage the entire data life cycle.
  • Yahoo! Content Analysis API – detects entities/concepts, categories, and relationships within unstructured content. It ranks those detected entities/concepts by their overall relevance, resolves those if possible into Wikipedia pages, and annotates tags with relevant meta-data.
  • Quepy – a python framework to transform natural language questions to queries in a database query language, can be easily customized to different kinds of questions in natural language and database queries.

 
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Last Modification: 2013-07-12 14:19:08 by Chris Bizer