Statistical Schema Induction

Völker, Johanna ; Niepert, Mathias

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
Conference title: ESWC 2011
Location of the conference venue: Heraklion, Greece
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
ISSN: 0302-9743 , 1611-3349
Publication language: English
Institution: School of Business Informatics and Mathematics > Practical Computer Science II: Artificial Intelligence (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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