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Statistical Schema Induction
Völker, Johanna
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Niepert, Mathias
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DOI:
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https://doi.org/10.1007/978-3-642-21034-1_9
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URL:
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https://link.springer.com/chapter/10.1007%2F978-3-...
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Document Type:
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Conference or workshop publication
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Year of publication:
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2011
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Book title:
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The Semantic Web: Research and Applications : 8th Extended Semantic Web Conference, ESWC 2011, Heraklion, Crete, Greece, Proceedings, Part I
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The title of a journal, publication series:
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Lecture Notes in Computer Science
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Volume:
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6643
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Page range:
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124-138
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Conference title:
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ESWC 2011
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Location of the conference venue:
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Heraklion, Greece
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Date of the conference:
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May 29-June 2, 2011
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Publisher:
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Antoniou, Grigoris
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Place of publication:
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Berlin [u.a.]
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Publishing house:
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Springer
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ISBN:
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978-3-642-21034-1 , 978-3-642-21033-4
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ISSN:
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0302-9743 , 1611-3349
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Publication language:
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English
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Institution:
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School of Business Informatics and Mathematics > Praktische Informatik II (Stuckenschmidt 2009-)
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Subject:
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004 Computer science, internet
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Abstract:
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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.
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 | Dieser Eintrag ist Teil der Universitätsbibliographie. |
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