Auer, S.; Bizer, C.; Kobilarov, G.; Lehmann, J.; Cyganiak, R. & Ives, Z.: DBpedia: A Nucleus for a Web of Open Data. In: Aberer, K.; Choi, K.-S.; Noy, N.; Allemang, D.; Lee, K.-I.; Nixon, L.; Golbeck, J.; Mika, P.; Maynard, D.; Mizoguchi, R.; Schreiber, G. & Cudré-Mauroux, P. (Hrsg.): The Semantic Web. Berlin/Heidelberg: Springer, 2007 (Lecture Notes in Computer Science 4825), S. 722-735
[Volltext]
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.
@incollection{auer2007dbpedia,
author = {Auer, Sören and Bizer, Christian and Kobilarov, Georgi and Lehmann, Jens and Cyganiak, Richard and Ives, Zachary},
title = {DBpedia: A Nucleus for a Web of Open Data},
editor = {Aberer, Karl and Choi, Key-Sun and Noy, Natasha and Allemang, Dean and Lee, Kyung-Il and Nixon, Lyndon and Golbeck, Jennifer and Mika, Peter and Maynard, Diana and Mizoguchi, Riichiro and Schreiber, Guus and Cudré-Mauroux, Philippe},
booktitle = {The Semantic Web},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
address = {Berlin/Heidelberg},
year = {2007},
volume = {4825},
pages = {722--735},
url = {http://dx.doi.org/10.1007/978-3-540-76298-0_52},
doi = {10.1007/978-3-540-76298-0_52},
isbn = {978-3-540-76297-3},
keywords = {open, semantic, lod, data, linked, web, dbpedia, wikipedia},
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.}
}