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What should I link to? Identifying relevant sources and classes for data linking

Nikolov, Andriy; d'Aquin, Mathieu and Motta, Enrico (2011). What should I link to? Identifying relevant sources and classes for data linking. In: Joint International Semantic Technology Conference (JIST2011) for ASWC2011 and CSWC2011, 1-7 Dec 2011, Hangzhou, China.

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With more data repositories constantly being published on the Web, choosing appropriate data sources to interlink with newly published datasets becomes a non-trivial problem. It is necessary to choose both the repositories to link to and the relevant subsets of these repositories, which contain potentially matching individuals. In order to do this, detailed information about the content and structure of semantic repositories is often required. However, retrieving and processing such information for a potentially large number of datasets is practically unfeasible. In this paper, we propose an approach which utilises an existing semantic web index in order to identify potentially relevant datasets for interlinking and rank them. Furthermore, we adapt instance-based ontology schema matching to extract relevant subsets of selected data source and, in this way, pre-con�gure data linking tools.

Item Type: Conference or Workshop Item
Copyright Holders: Springer-Verlag
Project Funding Details:
Funded Project NameProject IDFunding Body
Not SetNot SetPartially funded under the EC 7th Framework Programme, in the context of the SmartProducts project (231204)
Extra Information: Conference proceedings to be published by Springer as a volume of LNCS
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: Centre for Research in Computing (CRC)
Item ID: 32334
Depositing User: Andriy Nikolov
Date Deposited: 02 Feb 2012 11:28
Last Modified: 12 Jun 2020 08:29
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