• 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