Nikolov, Andriy; d'Aquin, Mathieu and Motta, Enrico
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 December 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.
|External Project Funding Details:
|Funded Project Name||Project ID||Funding Body|
|Not Set||Not Set||Partially funded under the EC 7th Framework Programme, in the context of the SmartProducts project (231204)|
||Conference proceedings to be published by Springer as a volume of LNCS
||Knowledge Media Institute
|Interdisciplinary Research Centre:
||Centre for Research in Computing (CRC)
||02 Feb 2012 11:28
||26 Oct 2012 02:06
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