Ontology Matching
Leveraging data and structure in ontology integration
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
Integration of Semantically Annotated Data by the KnoFuss Architecture
EKAW '08 Proceedings of the 16th international conference on Knowledge Engineering: Practice and Patterns
Learning Concept Mappings from Instance Similarity
ISWC '08 Proceedings of the 7th International Conference on The Semantic Web
RiMOM: A Dynamic Multistrategy Ontology Alignment Framework
IEEE Transactions on Knowledge and Data Engineering
Discovering and Maintaining Links on the Web of Data
ISWC '09 Proceedings of the 8th International Semantic Web Conference
ASWC '09 Proceedings of the 4th Asian Conference on The Semantic Web
An empirical study of instance-based ontology matching
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
Invited paper: Sig.ma: Live views on the Web of Data
Web Semantics: Science, Services and Agents on the World Wide Web
When owl: sameAs isn't the same: an analysis of identity in linked data
ISWC'10 Proceedings of the 9th international semantic web conference on The semantic web - Volume Part I
Ontology augmentation: combining semantic web and text resources
Proceedings of the sixth international conference on Knowledge capture
Using information quality for the identification of relevant web data sources: a proposal
Proceedings of the 14th International Conference on Information Integration and Web-based Applications & Services
Identifying candidate datasets for data interlinking
ICWE'13 Proceedings of the 13th international conference on Web Engineering
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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-configure data linking tools.