Querying Wikipedia like a Database.
DBpedia is a community effort to extract structured information from Wikipedia and to make this information available on the Web. DBpedia allows you to ask sophisticated queries against Wikipedia and to link other datasets on the Web to Wikipedia data.
DBpedia-Presentation at ISWC
Sören presented today the paper “DBpedia: A Nucleus for a Web of Open Data” at International Semantic Web Conference in Busan, Korea. You can view the slides at http://www.informatik.uni-leipzig.de/~auer/presentations/dbpedia/
The commonsense knowledge base Cyc or OpenCyc (when compared to DBpedia) seems to follow a rather top-down approach ? first more abstract concepts and entities are represented and later Cyc started to include also more domain knowledge. This seems to be reasonable, since domain knowledge changes faster and there is much more of it. On [...]
flickr photo collection links added to DBpedia
Christian Becker (Freie Universität Berlin) has implemented a wrapper around flickr which generates photo collections depicting DBpedia concepts. See flickr wrappr for details. We have interlinked all DBpedia concepts with the corresponding photo collections. You can now use any Semantic Web browser to navigate from a DBpedia concept to flickr photos depicting it by following the dbpedia:hasPictureCollection property. [...]
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 1.95 million articles. Wikipedia has the problem that its search capabilities are limited to full-text search, which only allows very limited access to this valuable knowledge-base.
Semantic Web technologies enable expressive queries against structured information on the Web and to interlink data between different Web data sources. The Semantic Web has the problem that there is not much RDF data online yet and that up-to-date terms and ontologies are missing for many application domains.
The DBpedia project approaches both problems by extracting structured information from Wikipedia and by making this information available on the Semantic Web.
The DBpedia dataset currently provides information about more than 1.95 million “things”, including at least 80,000 persons, 70,000 places, 35,000 music albums, 12,000 films. Altogether, the DBpedia dataset consists of 103 million pieces of information (RDF triples).
This Wiki provides information about the DBpedia community project:
- Datasets gives an overview about the DBpedia dataset.
- Online Access describes how the dataset can be accessed via a SPARQL endpoint and as Linked Data.
- Downloads provides the DBpedia datasets for download.
- Interlinking describes how the DBpedia dataset is interlinked with various other datasets on the Web.
- Use Cases lists different use cases for the DBpedia dataset.
- Extraction Framework describes the DBpedia information extraction framework.
- Publications gives an overview about DBpedia related publications.
- Community explains how the DBpedia community collaborates and how people can contribute to the DBpedia effort.
- Credits lists the people and institutions that have contributed to DBpedia so far.
- Next steps describes ideas and future plans for the DBpedia project.
var dbclick = “page”;