Visual Analytics for Ontology Matching Using Multi-linked Views

نویسندگان

  • Jillian Aurisano
  • Amruta Nanavaty
  • Isabel F. Cruz
چکیده

Ontology matching is the key to data integration on the Semantic Web. Advanced ontology matching systems incorporate a variety of algorithms. However, they do not always guarantee a complete and correct alignment (set of mappings). Hence, user involvement in the matching process is essential for complex ontologies. In this paper, we explore the power of multi-linked views, where actions in one view affect the display of the other views, thereby extending significantly the state of the art in ontology matching visualization in general and that of visual analytics for ontology matching in particular. A preliminary assessment of our approach that uses the ontologies of the OAEI Conference Track points to the effectiveness of our approach.

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تاریخ انتشار 2015