SOFIE: a self-organizing framework for information extraction
Proceedings of the 18th international conference on World wide web
Combining a Logical and a Numerical Method for Data Reconciliation
Journal on Data Semantics XII
A framework for semantic link discovery over relational data
Proceedings of the 18th ACM conference on Information and knowledge management
Discovering and Maintaining Links on the Web of Data
ISWC '09 Proceedings of the 8th International Semantic Web Conference
KD2R: a key discovery method for semantic reference reconciliation
OTM'11 Proceedings of the 2011th Confederated international conference on On the move to meaningful internet systems
Ontology Matching: State of the Art and Future Challenges
IEEE Transactions on Knowledge and Data Engineering
Data Linking for the Semantic Web
International Journal on Semantic Web & Information Systems
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Thanks to the initiative of Linked Open Data, the RDF datasets that are published on the Web are more and more numerous. One active research field currently concerns the problem of finding links between entities. We focus in this paper on ontology-based data linking approaches which use linking rules based on the available schemas (or ontologies). This kind of systems assume to have beforehand a set of mappings between ontology elements. However, this set of mappings could be incomplete. We propose in this paper a data linking approach called N2R-Part. It is based on the computation of similarity scores by exploiting at the same time properties for which a mapping exists and those for which there is no mapping. We illustrate throughout an example how the exploitation of the unmapped properties improves the data linking results.