After years of research on ontology matching, the authors review the state of the art in ontology matching and analyze recent evaluation results. The results show measurable improvement in the field, though the rate of improvement is slowing down. The authors conjecture that significant improvements require addressing important challenges, such as how to approach challenges involving semantics, structure, extensional definitions, and dynamics. Presenting these challenges could direct research toward more promising areas and help progress the field.

1. ONTOLOGY MATCHING STATE OF THE ART AND FUTURE CHALLENGES
ABSTRACT:
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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