Nikolov, Andriy; Uren, Victoria; Motta, Enrico and De Roeck, Anne
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With the growing amount of semantic data being published on the Web the problem of finding individuals in different datasets which correspond to the same entity is gaining importance. Given that datasets are often structured using different ontologies, automatic schema-matching techniques have to be utilized before proceeding with data-level alignment. In this paper we discuss how ontology schema mis- matches influence data-level alignment based on our first experience with implementing a data fusion tool for a multi-ontology environment.
|Item Type:||Conference Item|
|Copyright Holders:||2009 The Authors|
|Extra Information:||Proceedings of the WWW2009 Workshop on Linked Data on the Web
Madrid, Spain, April 20, 2009.
Edited by Christian Bizer, Tom Heath, Tim Berners-Lee, Kingsley Idehen
|Keywords:||data fusion; coreference resolution; linked data|
|Academic Unit/Department:||Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
|Interdisciplinary Research Centre:||Centre for Research in Computing (CRC)|
|Depositing User:||Kay Dave|
|Date Deposited:||24 Aug 2011 09:38|
|Last Modified:||18 Nov 2016 16:16|
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