Title :
Ontology Matching: State of the Art and Future Challenges
Author :
Shvaiko, P. ; Euzenat, Jerome
Author_Institution :
TasLab, Inf. Trentina, Trento, Italy
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.
Keywords :
ontologies (artificial intelligence); future challenges; ontology matching; state of the art challenges; Databases; OWL; Ontologies; Resource description framework; Semantics; Thesauri; Vocabulary; Semantic heterogeneity; ontology alignment; ontology matching; schema matching; semantic technologies;
Journal_Title :
Knowledge and Data Engineering, IEEE Transactions on
DOI :
10.1109/TKDE.2011.253