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Mining Equivalent R...
Mining Equivalent Relations from Linked Data
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- Zhang, Ziqi (författare)
- University of Sheffield, UK
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- Gentile, Anna Lisa (författare)
- University of Sheffield, UK
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- Augenstein, Isabelle (författare)
- University of Sheffield, UK
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- Blomqvist, Eva, 1977- (författare)
- Linköpings universitet,Interaktiva och kognitiva system,Tekniska högskolan,MDA
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- Ciravegna, Fabio (författare)
- University of Sheffield, UK
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(creator_code:org_t)
- Association for Computational Linguistics, 2013
- 2013
- Engelska.
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Ingår i: Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (ACL 2013), Volume 2. - : Association for Computational Linguistics. - 9781937284510 ; , s. 289-293
- Relaterad länk:
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http://aclweb.org/an...
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https://urn.kb.se/re...
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Abstract
Ämnesord
Stäng
- Linking heterogeneous resources is a major research challenge in the Semantic Web. This paper studies the task of mining equivalent relations from Linked Data, which was insufficiently addressed before. We introduce an unsupervised method to measure equivalency of relation pairs and cluster equivalent relations. Early experiments have shown encouraging results with an average of 0.75~0.87 precision in predicting relation pair equivalency and 0.78~0.98 precision in relation clustering.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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