wiki.dbpedia.org - UseCases

2008-06-05 21:45:02

Comparison for /Use Cases of 2008-06-05 21:45:02 and 2008-07-08 18:26:42

Additions:

Wikipedia 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.
One 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.

Include DBpedia Data in Your Web Page

One 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.

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)

DBpedia contains information about 300,000 geographic locations and is interlinked with other geo-related data sources such as Geonames, the US Census, Euro Stat, and the CIA world fact book. The data set contains geo-coordinates for many geographic locations which enable location-based SPARQL searches.
The DBpedia data set is served as Linked Data ([1], [2]) which allows the data set to be interlinked with other data sets and ontologies.

Deletions:

Wikipedia 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 restricts the overall utility of Wikipedia.
A 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.

Include DBpedia Data into Your Web Page

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)

DBpedia contains information about 300,000 geographic locations and is interlinked with other geo-related data sources such as Geonames, the US Census, Euro Stat and the CIA world fact book. The data set contains geo-coordinates for many geographic locations which enable location-based SPARQL searches.
The DBpedia data set is served as Linked Data 1 2 which allows the data set to be interlinked with other data sets and ontologies.

2008-06-05 21:23:34

Comparison for /Use Cases of 2008-06-05 21:23:34 and 2008-06-05 21:45:02

Additions:

Terms 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.

Deletions:

Term form 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.

2008-06-05 20:58:29

Comparison for /Use Cases of 2008-06-05 20:58:29 and 2008-06-05 21:23:34

Additions:

Here are three prototypical search interfaces using different approaches to improve Wikipedia search:
Such tables can be implemented either by using Java Script 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 Java Script are:

The data quality is lower and there are inconsistencies within DBpedia.

Deletions:

We have developed two prototypical search interfaces that demonstrate different approaches to improve Wikipedia search:
Such 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:

the data quality is lower and there are inconsistencies within DBpedia.

2008-05-26 09:33:14

Comparison for /Use Cases of 2008-05-26 09:33:14 and 2008-06-05 20:58:29

Additions:

This page lists use cases for the DBpedia data set together with references to ongoing work into these directions.
A 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.

The OpenLink QBE visual query builder provides a graphical interface for formulating SPARQL queries against DBpedia.

Include DBpedia Data into Your Web Page

One 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 let's 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.
Such 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:

Web page with a table containing English musicians (Only works with Firefox)
Web page with a table containing German cities (Only works with Firefox)

If you choose to query DBpedia from within the browser, you can also think about using Exhibit, which is a nice Java Script 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.
The link below leads to Exhibit visualization of one SPARQL query result:
Many DBpedia properties have numeric values, so DBpedia data can also be used as input for spreadsheet calculations, for example, using the Objectsheet Java Script visual data environment.

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)

Other 3rd party applications integrating DBpedia into their websites include:
DBpedia contains information about 300,000 geographic locations and is interlinked with other geo-related data sources such as Geonames, the US Census, Euro Stat and the CIA world fact book. The data set contains geo-coordinates for many geographic locations which enable location-based SPARQL searches.
This 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.
One example of such an application is DBpedia Mobile which demonstrates how the DBpedia data set can be used as entry point into the geo-spacial Semantic Web.
Term form 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.
One application that uses DBpedia terms for the annotation of Web content is 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.
The backdrop of DBpedia compared to hand-crafted ontologies like SUMO, Open Cyc, or Wordnet is that

DBpedia is less formally structured.

An approach to combine the advantages of both worlds is to interlink DBpedia with hand-crafted ontologies such as Open Cyc, SUMO, or Word Net, which enables applications to use the formal knowledge from these ontologies together with the instance data from DBpedia.
This transition is facilitated by ideas from the Semantic Web community and initiatives like the W3C Linking Open Data project.
The DBpedia data set is served as Linked Data 1 2 which allows the data set to be interlinked with other data sets and ontologies.
As 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.
Please see Interlinking for an overview about the data sets that are currently interlinked with DBpedia and W3C Linking Open Data for a list of other data sets and ontologies that are published on the Web as Linked Data.
One 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.
Extracting structured data from all 251 versions of DBpedia and interlinking this data with background knowledge from ontologies like Open Cyc, SUMO, or Word Net, allows different types of consistency checks. For instance:
Therefore, 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.

Deletions:

This page lists use cases for the DBpedia dataset together with references to ongoing work into these directions.
A major application domain for the DBpedia dataset is to enable sophisticated queries against Wikipedia, which could revolutionize the access to this valuable knowledge source.

The OpenLink QBE visual query builder provides a grapical interface for formulating SPARQL queries against DBpedia.

Include DBpedia Data into Your Webpage

A nice thing about Wikipeda is that is kept up-to-date by a large community. Therefore, if you need a table on your webpage with let's say German cities, African musicians, Amiga computer games from the 90ies 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.
Such tables can eighter be implemented 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 found below:

Webpage with a table containing English musicians (Only works with Firefox)
Webpage with a table containing German cities (Only works with Firefox)

If you chose querying DBpedia from within the browser, you can also think about using Exhibit, which is a nice Java Script library for visualizing structured information. As it takes JSON data as input and as the DBpedia.org SPARQL endpoint can produce SPARQL/JSON as output, Exhibit can be used to visualize SPARQL query results.
The link below lead to the Exhibit visualization of an SPARQL query result:
As many DBpedia properties have numeric values, DBpedia data can also be used as input for spreadsheet calculations, using for example the Objectsheet Java Script visual data environment.

Retrieve the birth and the 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)

Other 3rd party applications integrating DBpedia in their websites:
DBpedia contains information about 300,000 geographic locations and is interlinked with further geo-related data sources such as Geonames, US Census, Euro Stat and the CIA world fact book. The dataset contains geo-coordinates for many geographic locations which enable location-based SPARQL searches.
This makes DBpedia a valuable data source for location-based applications. DBpedia contains short abstracts about places in up to 12 languages which display nicely on mobile phones and PDAs.
An example of such a application is DBpedia Mobile which demonstrates how the DBpedia dataset can be used as entry point into the geospacial Semantic Web.
Term form DBpedia can be used to annotate Web content. Compared to other subject hirarchies, like the classic ones used within libaries, DBpedia has the advantage that each subject is backed by a rich description including abstracts in 14 languages. Another advantage compated to static hirarchies is that DBpedia evolves as Wikipedia changes and .
An application that uses DBpedia terms for the annotation of Web content is Faviki. Faviki is a social bookmarking tool which allows you to tag webpages 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.
The backdrop of DBpedia compared to hand-crafted ontologies like SUMO, Open Cyc or Wordnet is that

Dbpedia is less formally structured.

An approach to combine the advantages of both worlds is to interlink DBpedia with hand-crafted ontologies such as Open Cyc, SUMO or Word Net, which enables applications to use the formal knowledge from these ontologies together with the instance data from DBpedia.
This transition is fazilitated by ideas from the Semantic Web community and initiatives like the W3C Linking Open Data project.
The DBpedia dataset is served as Linked Data 1 2 which allows the dataset to be interlinked with other datasets and ontologies.
As DBpedia covers many domains and provides data-backed identifiers for 1.95 million concepts, it is developing into an interlinking-hub for other datasets.
Please see Interlinking for an overview about the datasets that are currently interlinked with DBpedia and W3C Linking Open Data for a list of other datasets and ontologies that are published on the Web as Linked Data.
A strenght and a central factor for the groth of Wikipedia is that it does not restrict contributors. On the other hand, this leads to many inconsistencies within Wikipedia, especially between the 251 different language version.
Extracting structured data from all 251 versions of DBpedia and interlinking this data with background knowledge from ontologies like Open Cyc, SUMO or Word Net allows different types of consistency checks. For instance:
Therefore, a promising direction for future work is to use DBpedia knowledge for consistency checks and to develop tools that support Wikipedia authors with editing/correction suggestions.

2008-03-24 11:18:54

Comparison for /Use Cases of 2008-03-24 11:18:54 and 2008-05-26 09:33:14

Additions:

Document Classification, Annotation and Social Bookmarking

Term form DBpedia can be used to annotate Web content. Compared to other subject hirarchies, like the classic ones used within libaries, DBpedia has the advantage that each subject is backed by a rich description including abstracts in 14 languages. Another advantage compated to static hirarchies is that DBpedia evolves as Wikipedia changes and .
An application that uses DBpedia terms for the annotation of Web content is Faviki. Faviki is a social bookmarking tool which allows you to tag webpages 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.

2008-02-18 01:43:34

Comparison for /Use Cases of 2008-02-18 01:43:34 and 2008-03-24 11:18:54

Additions:

DBpedia contains information about 300,000 geographic locations and is interlinked with further geo-related data sources such as Geonames, US Census, Euro Stat and the CIA world fact book. The dataset contains geo-coordinates for many geographic locations which enable location-based SPARQL searches.
An example of such a application is DBpedia Mobile which demonstrates how the DBpedia dataset can be used as entry point into the geospacial Semantic Web.

Deletions:

DBpedia contains information about 200,000 geographic locations and is interlinked with further geo-related data sources such as Geonames, US Census, Euro Stat and the CIA world fact book. The dataset contains geo-coordinates for many geographic locations which enable location-based SPARQL searches.

2008-02-16 19:37:15

Comparison for /Use Cases of 2008-02-16 19:37:15 and 2008-02-18 01:43:34

Additions:

The OpenLink QBE visual query builder provides a grapical interface for formulating SPARQL queries against DBpedia.

Deletions:

The OpenLink QBE visual query builder provides a grapical interface for formulating SPARQL queries against DBpedia.

2008-01-31 15:06:06

Comparison for /Use Cases of 2008-01-31 15:06:06 and 2008-02-16 19:37:15

Additions:

The OpenLink QBE visual query builder provides a grapical interface for formulating SPARQL queries against DBpedia.

Deletions:

The OpenLink QBE visual query builder provides a grapical interface for formulating SPARQL queries against DBpedia.

2008-01-30 16:32:50

Comparison for /Use Cases of 2008-01-30 16:32:50 and 2008-01-31 15:06:06

Deletions:

An example of a mobile application which relies on DBpedia as a starting point to explore the Geospacial Semantic Web is DBpedia Mobile.