Ontology Matching: State of the Art and Future Challenges

University of Trento · Laboratoire d'Informatique de Grenoble · +2 more institutions

Indexed incrossref

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…

Citation impact

1,130
total citations
FWCI
143.29
Percentile
100%
References
188
Citations per year

Authors

2

Topics & keywords

Keywords
  • Ontology
  • Ontology alignment
  • Computer science
  • Matching (statistics)
  • Field (mathematics)
  • Ontology-based data integration
  • Data science
  • Process ontology
No related works found for this paper.