DocumentCode
1168
Title
Ontology Matching: State of the Art and Future Challenges
Author
Shvaiko, P. ; Euzenat, Jerome
Author_Institution
TasLab, Inf. Trentina, Trento, Italy
Volume
25
Issue
1
fYear
2013
fDate
Jan. 2013
Firstpage
158
Lastpage
176
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;
fLanguage
English
Journal_Title
Knowledge and Data Engineering, IEEE Transactions on
Publisher
ieee
ISSN
1041-4347
Type
jour
DOI
10.1109/TKDE.2011.253
Filename
6104044
Link To Document