DBpedia

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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 data sets on the web to Wikipedia data.

Publications

Title Author(s) Keyword(s) Published in Language DateThis property is a special property in this wiki. Abstract R C
DBpedia for NLP: A Multilingual Cross-domain Knowledge Base Pablo N. Mendes
Max Jakob
Christian Bizer
International Conference on Language Resources and Evaluation English 2012 0 0
DBpedia Spotlight: Shedding Light on the Web of Documents Pablo N. Mendes
Max Jakob
Andrés García-Silva
Christian Bizer
Text Annotation
Linked data
DBpedia
Named Entity Disambiguation
International Conference on Semantic Systems English 2011 0 0
Modelling Provenance of DBpedia Resources Using Wikipedia Contributions Fabrizio Orlandi
Alexandre Passant
Provenance
Linked data
DBpedia
Wikipedia
Web Semantics: Science, Services and Agents on the World Wide Web English 2011 DBpedia is one of the largest datasets in the Linked Open Data cloud. Its centrality and its cross-domain nature makes it one of the most important and most referred to knowledge bases on the Web of Data, generally used as a reference for data interlinking.Yet, in spite of its authoritative aspect, there is no work so far tackling the provenance aspect of DBpedia statements. By being extracted from Wikipedia, an open and collaborative encyclopedia, delivering provenance information about it would help to ensure trustworthiness of its data, a major need for people using DBpedia data for building applications.To overcome this problem, we propose an approach for modelling and managing provenance on DBpedia using Wikipedia edits, and making this information available on the Web of Data. In this paper, we describe the framework that we implemented to do so, consisting in (1) a lightweight modelling solution to semantically represent provenance of both DBpedia resources and Wikipedia content, along with mappings to popular ontologies such as the W7 — what, when, where, how, who, which, and why — and OPM — Open Provenance Model — models, (2) an information extraction process and a provenance-computation system combining Wikipedia articles’ history with DBpedia information, (3) a set of scripts to make provenance information about DBpedia statements directly available when browsing this source, as well as being publicly exposed in RDF for letting software agents consume it. 0 0
Multipedia: enriching DBpedia with multimedia information Andrés García-Silva
Max Jakob
Pablo N. Mendes
Christian Bizer
International Conference on Knowledge Capture English 2011 0 0
Faceted Wikipedia Search Rasmus Hahn
Christian Bizer
Christopher Sahnwaldt
Christian Herta
Scott Robinson
Michaela Bürgle
Holger Düwiger
Ulrich Scheel
International Conference on Business Information Systems English 2010 Wikipedia articles contain, besides free text, various types of structured information in the form of wiki markup. The type of wiki content that is most valuable for search are Wikipedia infoboxes, which display an article’s most relevant facts as a table of attribute-value pairs on the top right-hand side of the Wikipedia page. Infobox data is not used by Wikipedia’s own search engine. Standard Web search engines like Google or Yahoo also do not take advantage of the data. In this paper, we present Faceted Wikipedia Search, an alternative search interface for Wikipedia, which facilitates infobox data in order to enable users to ask complex questions against Wikipedia knowledge. By allowing users to query Wikipedia like a structured database, Faceted Wikipedia Search helps them to truly exploit Wikipedia’s collective intelligence. 0 0
DBpedia – A Crystallization Point for the Web of Data Christian Bizer
Jens Lehmann
Georgi Kobilarov
Sören Auer
Christian Becker
Richard Cyganiak
Sebastian Hellmann
Web of data
Linked data
Knowledge Extraction
Wikipedia
RDF
Journal of Web Semantics: Science, Services and Agents on the World Wide Web English 2009 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. 0 0
DBpedia: A nucleus for a web of open data Sören Auer
Christian Bizer
Jens Lehmann
Georgi Kobilarov
Richard Cyganiak
Zachary Ives
ISWC English 2007 0 3