• DocumentCode
    2057761
  • Title

    On the Utility of WordNet for Ontology Alignment: Is it Really Worth it?

  • Author

    Thayasivam, Uthayasanker ; Doshi, Prashant

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Georgia, Athens, GA, USA
  • fYear
    2011
  • fDate
    18-21 Sept. 2011
  • Firstpage
    267
  • Lastpage
    274
  • Abstract
    Many ontology alignment algorithms augment syntactic matching with the use of WordNet (WN) in order to improve their performance. The advantage of using WN in alignment seems apparent. However, we strike a more cautionary note. We analyze the utility of WN in the context of the reduction in precision and increase in execution time that its use entails. For this analysis, we particularly focus on real-world ontologies. We report distinct trends in the performance of WN-based alignment in comparison with alignment that uses syntactic matching only. We analyze the trends and their implications, and provide useful insights on the types of ontology pair for which WN-based alignment may potentially be worthwhile and those types where it may not be.
  • Keywords
    ontologies (artificial intelligence); pattern matching; WordNet; ontology alignment; syntactic matching; Benchmark testing; Context; Databases; Ontologies; Radio access networks; Semantics; Syntactics; WordNet; ontology alignment; performance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Semantic Computing (ICSC), 2011 Fifth IEEE International Conference on
  • Conference_Location
    Palo Alto, CA
  • Print_ISBN
    978-1-4577-1648-5
  • Electronic_ISBN
    978-0-7695-4492-2
  • Type

    conf

  • DOI
    10.1109/ICSC.2011.28
  • Filename
    6061345