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Issue No. 01 - Jan. (2013 vol. 25)
ISSN: 1041-4347
pp: 158-176
Pavel Shvaiko , TasLab, Informatica Trentina SpA, Trento
Jérôme Euzenat , INRIA & LIG, Saint-Ismier
After years of research on ontology matching, it is reasonable to consider several questions: is the field of ontology matching still making progress? Is this progress significant enough to pursue further research? If so, what are the particularly promising directions? To answer these questions, we review the state of the art of ontology matching and analyze the results of recent ontology matching evaluations. These results show a measurable improvement in the field, the speed of which is albeit slowing down. We conjecture that significant improvements can be obtained only by addressing important challenges for ontology matching. We present such challenges with insights on how to approach them, thereby aiming to direct research into the most promising tracks and to facilitate the progress of the field.
Ontologies, Semantics, OWL, Resource description framework, Databases, Thesauri, Vocabulary, schema matching, Semantic heterogeneity, semantic technologies, ontology matching, ontology alignment

P. Shvaiko and J. Euzenat, "Ontology Matching: State of the Art and Future Challenges," in IEEE Transactions on Knowledge & Data Engineering, vol. 25, no. , pp. 158-176, 2013.
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