• DocumentCode
    2838058
  • Title

    Ontology Alignment by Combining Lexical Analysis with Consequences from Reasoners

  • Author

    Liao, Jianxin ; Liu, Xiulei ; Zhu, Xiaomin ; Xu, Tong ; Wang, Jingyu ; Sun, Haifeng

  • Author_Institution
    State Key Lab. of Networking & Switching Technol., Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2012
  • fDate
    24-29 June 2012
  • Firstpage
    288
  • Lastpage
    294
  • Abstract
    Aligning different ontologies from similar (or same) domains is an active field of current research. There are various solutions which process and analyze lexical, structural or semantic information to align ontologies. However, there are few solutions that focus on interpreting the concepts that entities are presented with and using them in relation to the semantics implied in an ontology. In this paper, the prototype (OACLAI) is presented to tackle this by combining lexical analysis with consequences from reasoners which reflect the semantics implied in an ontology. We evaluate OACLAI over the four real ontologies and compare it against the seven solutions. The experiments show that the accuracy of OACLAI is higher than those of others on average.
  • Keywords
    inference mechanisms; ontologies (artificial intelligence); OACLAI; lexical analysis; ontology alignment; reasoner consequences; Algorithm design and analysis; Cognition; Matched filters; Measurement; Ontologies; Semantic Web; Semantics; Ontology Alignment; Reasoners; Semantic Analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Services (ICWS), 2012 IEEE 19th International Conference on
  • Conference_Location
    Honolulu, HI
  • Print_ISBN
    978-1-4673-2131-0
  • Type

    conf

  • DOI
    10.1109/ICWS.2012.57
  • Filename
    6257819