Journal
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
Volume 25, Issue 1, Pages 158-176Publisher
IEEE COMPUTER SOC
DOI: 10.1109/TKDE.2011.253
Keywords
Semantic heterogeneity; semantic technologies; ontology matching; ontology alignment; schema matching
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Funding
- Trentino as a Lab initiative of the European Network of the Living Labs at Informatica Trentina
- European integrated project NeOn [IST-2005-027595]
- RNTL project WebContent
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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.
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