DBpedia - a crystallization point for the web of data

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DBpedia - a crystallization point for the web of data
Authors: Christian Bizer, Jens Lehmann, Georgi Kobilarov, Sören Auer, Christian Becker, Richard Cyganiak, Sebastian Hellmann [edit item]
Citation: Journal of Web Semantics 7 (3): 154-165. 2009.
Publication type: Journal article
Peer-reviewed: Yes
Database(s):
DOI: 10.1016/j.websem.2009.07.002.
Google Scholar cites: Citations
Link(s): Paper link
Added by Wikilit team: Added on initial load
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DBpedia - a crystallization point for the web of data is a publication by Christian Bizer, Jens Lehmann, Georgi Kobilarov, Sören Auer, Christian Becker, Richard Cyganiak, Sebastian Hellmann.


[edit] Abstract

The DBpedia project is a community effort to extract structured information from Wikipedia and to make this information accessible on the Web. The resulting DBpedia knowledge base currently describes over 2.6 million entities. For each of these entities, DBpedia defines a globally unique identifier that can be dereferenced over the Web into a rich RDF description of the entity, including human-readable definitions in 30 languages, relationships to other resources, classifications in four concept hierarchies, various facts as well as data-level links to other Web data sources describing the entity. Over the last year, an increasing number of data publishers have begun to set data-level links to DBpedia resources, making DBpedia a central interlinking hub for the emerging Web of Data. Currently, the Web of interlinked data sources around DBpedia provides approximately 4.7 billion pieces of information and covers domains such as geographic information, people, companies, films, music, genes, drugs, books, and scientific publications. This article describes the extraction of the DBpedia knowledge base, the current status of interlinking DBpedia with other data sources on the Web, and gives an overview of applications that facilitate the Web of Data around DBpedia.

[edit] Research questions

"This article describes the extraction of the DBpedia knowledge base, the current status of interlinking DBpedia with other data sources on the Web, and gives an overview of applications that facilitate the Web of Data around DBpedia."

Research details

Topics: Ontology building, Research platform [edit item]
Domains: Computer science [edit item]
Theory type: Analysis [edit item]
Wikipedia coverage: Main topic [edit item]
Theories: "Undetermined" [edit item]
Research design: Conceptual, Statistical analysis [edit item]
Data source: Wikipedia pages [edit item]
Collected data time dimension: Cross-sectional [edit item]
Unit of analysis: Article, Subject [edit item]
Wikipedia data extraction: Live Wikipedia, Dump [edit item]
Wikipedia page type: Article [edit item]
Wikipedia language: Multiple [edit item]

[edit] Conclusion

"The DBpedia project showed that a rich corpus of diverse knowledge can be obtained from the large scale collaboration of end-users, who are not even aware that they contribute to a structured knowledge base. The resulting DBpedia knowledge base covers a wide range of di erent domains and connects entities across these domains. The knowledge base represents the conceptual agreement of thousands of Wikipedia editors and evolves as conceptualizations By allowing complex queries to be asked against Wikipedia content, the DBpedia knowledge base has the potential to revolutionize the access to Wikipedia. In the context of classic Web search engines, the knowledge base can be used to relate search terms to entities and to improve search results based on DBpedia's conceptual structure. The utility of the knowledge base as interlinking hub for the Web of Data is demonstrated by the increasing number of data sources that decide to set RDF links to DBpedia and the growing number of annotation tools that use DBpedia identi ers. Already today, the resulting Web of Data around DBpedia forms an exciting test-bed to develop, compare, and evaluate data integration, reasoning, and uncertainty management techniques, and to deploy operational Semantic Web applications."

[edit] Comments


Further notes[edit]

Facts about "DBpedia - a crystallization point for the web of data"RDF feed
AbstractThe DBpedia project is a community effort The DBpedia project is a community effort to extract structured information from Wikipedia and to make this information accessible on the Web. The resulting DBpedia knowledge base currently describes over 2.6 million entities. For each of these entities, DBpedia defines a globally unique identifier that can be dereferenced over the Web into a rich RDF description of the entity, including human-readable definitions in 30 languages, relationships to other resources, classifications in four concept hierarchies, various facts as well as data-level links to other Web data sources describing the entity. Over the last year, an increasing number of data publishers have begun to set data-level links to DBpedia resources, making DBpedia a central interlinking hub for the emerging Web of Data. Currently, the Web of interlinked data sources around DBpedia provides approximately 4.7 billion pieces of information and covers domains such as geographic information, people, companies, films, music, genes, drugs, books, and scientific publications. This article describes the extraction of the DBpedia knowledge base, the current status of interlinking DBpedia with other data sources on the Web, and gives an overview of applications that facilitate the Web of Data around DBpedia.facilitate the Web of Data around DBpedia.
Added by wikilit teamAdded on initial load +
Collected data time dimensionCross-sectional +
ConclusionThe DBpedia project showed that a rich corThe DBpedia project showed that a rich corpus of diverse knowledge can be

obtained from the large scale collaboration of end-users, who are not even aware that they contribute to a structured knowledge base. The resulting DBpedia knowledge base covers a wide range of di erent domains and connects entities across these domains. The knowledge base represents the conceptual agreement of thousands of Wikipedia editors and evolves as conceptualizations By allowing complex queries to be asked against Wikipedia content, the DBpedia knowledge base has the potential to revolutionize the access to Wikipedia. In the context of classic Web search engines, the knowledge base can be used to relate search terms to entities and to improve search results based on DBpedia's conceptual structure. The utility of the knowledge base as interlinking hub for the Web of Data is demonstrated by the increasing number of data sources that decide to set RDF links to DBpedia and the growing number of annotation tools that use DBpedia identi ers. Already today, the resulting Web of Data around DBpedia forms an exciting test-bed to develop, compare, and evaluate data integration, reasoning, and uncertainty management

techniques, and to deploy operational Semantic Web applications.
loy operational Semantic Web applications.
Data sourceWikipedia pages +
Doi10.1016/j.websem.2009.07.002 +
Google scholar urlhttp://scholar.google.com/scholar?ie=UTF-8&q=%22DBpedia%2B-%2Ba%2Bcrystallization%2Bpoint%2Bfor%2Bthe%2Bweb%2Bof%2Bdata%22 +
Has authorChristian Bizer +, Jens Lehmann +, Georgi Kobilarov +, Sören Auer +, Christian Becker +, Richard Cyganiak + and Sebastian Hellmann +
Has domainComputer science +
Has topicOntology building + and Research platform +
Issue3 +
Pages154-165 +
Peer reviewedYes +
Publication typeJournal article +
Published inJournal of Web Semantics +
Research designConceptual + and Statistical analysis +
Research questionsThis article describes

the extraction of the DBpedia knowledge base, the current status of interlinking DBpedia with other data sources on the Web, and gives an overview of applications

that facilitate the Web of Data around DBpedia.
Revid10,727 +
TheoriesUndetermined
Theory typeAnalysis +
TitleDBpedia - a crystallization point for the web of data
Unit of analysisArticle + and Subject +
Urlhttp://dx.doi.org/10.1016/j.websem.2009.07.002 +
Volume7 +
Wikipedia coverageMain topic +
Wikipedia data extractionLive Wikipedia, Dump +
Wikipedia languageMultiple +
Wikipedia page typeArticle +
Year2009 +