DBpedia: A Nucleus for a Web of Open Data

Abstract

Abstract. 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 datasets derived from Wikipedia and to link other datasets on the Web to Wikipedia data. We describe the extraction of the DBpedia datasets, and how the resulting information is published on the Web for human-and machine-consumption. We describe some emerging applications from the DBpedia community and show how website authors can facilitate DBpedia content within their sites. Finally, we present the current status of interlinking DBpedia with other open datasets on the Web and outline how DBpedia could serve as a nucleus for an emerging Web of open data.

Deploying Linked Open Vocabulary (LOV) to Enhance Library Linked Data

“…Much like open source or open access, open data is data free from copyright, patents, and similar control systems; it is available to anyone who wishes to access and republish it (Auer et al, 2007 …”

Mining and Explaining Relationships in Wikipedia

“…The DBpedia project [13] extracts semantic relationships between concepts from the infobox in Wikipedia articles. For example, the relationship that "Tokyo" is the "captial" of "Japan", could be obtained from the infobox of article "Japan."…”

The Impact of Multifaceted Tagging on Learning Tag Relations and Search

“…For realizing the feature of mapping tags and categories to DBpedia [4] URIs we compared the following two strategies.…”

“…We present the TagMe! system 2 that introduces novel tagging facets: tag assignments are enriched with a DBpedia URI [4] to disambiguate the meaning of a tag. So-called area tags enable users to tag a specific part of an image (spatial tagging).…”