Statistical Schema Induction


Völker, Johanna ; Niepert, Mathias



DOI: https://doi.org/10.1007/978-3-642-21034-1_9
Additional URL: http://www.matlog.net/pdfs/eswc2011.pdf
Document Type: Conference or workshop publication
Year of publication: 2011
Book title: The Semantic Web: Research and Applications : 8th Extended Semantic Web Conference, ESWC 2011, Heraklion, Crete, Greece, Proceedings, Part I
The title of a journal, publication series: Lecture Notes in Computer Science
Volume: 6643
Page range: 124-138
Date of the conference: May 29-June 2, 2011
Publisher: Antoniou, Grigoris
Place of publication: Berlin [u.a.]
Publishing house: Springer
ISBN: 978-3-642-21034-1 , 978-3-642-21033-4
Publication language: English
Institution: School of Business Informatics and Mathematics > Praktische Informatik II (Stuckenschmidt 2009-)
Subject: 004 Computer science, internet
Abstract: While the realization of the SemanticWeb as once envisioned by Tim Berners-Lee remains in a distant future, the Web of Data has already become a reality. Billions of RDF statements on the Internet, facts about a variety of different domains, are ready to be used by semantic applications. Some of these applications, however, crucially hinge on the availability of expressive schemas suitable for logical inference that yields non-trivial conclusions. In this paper, we present a statistical approach to the induction of expressive schemas from large RDF repositories. We describe in detail the implementation of this approach and report on an evaluation that we conducted using several data sets including DBpedia.

Dieser Eintrag ist Teil der Universitätsbibliographie.




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Völker, Johanna ; Niepert, Mathias Statistical Schema Induction. Antoniou, Grigoris Lecture Notes in Computer Science 6643 124-138 In: The Semantic Web: Research and Applications : 8th Extended Semantic Web Conference, ESWC 2011, Heraklion, Crete, Greece, Proceedings, Part I (2011) Berlin [u.a.] [Conference or workshop publication]


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