Nikolov, Andriy; d'Aquin, Mathieu and Motta, Enrico
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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 Item|
|Project Funding Details:||
|Extra Information:||Conference proceedings to be published by Springer as a volume of LNCS|
|Academic Unit/Department:||Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
|Interdisciplinary Research Centre:||Centre for Research in Computing (CRC)|
|Depositing User:||Andriy Nikolov|
|Date Deposited:||02 Feb 2012 11:28|
|Last Modified:||05 Oct 2016 15:21|
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