• DocumentCode
    1929278
  • Title

    Multiple noun expression analysis: An implementation of Ontological Semantic Technology

  • Author

    Taylor, Julia M. ; Raskin, Victor ; Petrenko, Maxim S. ; Hempelmann, Christian F.

  • Author_Institution
    Purdue Univ., West Lafayette, IN, USA
  • fYear
    2010
  • fDate
    18-20 Oct. 2010
  • Firstpage
    517
  • Lastpage
    524
  • Abstract
    The paper analyzes multiple noun expressions, or compound nouns, as part of the implementation of Ontological Semantic Technology, which uses a lexicon, an ontology, and a semantic text analyzer to access and represent the meaning of text. Because the analysis and results depend on the lexical senses of words, general principles of lexical acquisition are discussed. The success in interpretation and classification of such expressions is demonstrated on 100 randomly selected sequences of noun compounds.
  • Keywords
    ontologies (artificial intelligence); text analysis; lexical acquisition; meaning interpretation; multiple noun expression analysis; ontological semantic technology; semantic text analyzer; Humans; Object recognition; Ontologies; Semantics; Syntactics; Taxonomy; Tunneling magnetoresistance; meaning interpretation; multiple noun expressions; ontological semantic technology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Technology (IMCSIT), Proceedings of the 2010 International Multiconference on
  • Conference_Location
    Wisla
  • ISSN
    2157-5525
  • Print_ISBN
    978-1-4244-6432-6
  • Type

    conf

  • DOI
    10.1109/IMCSIT.2010.5679858
  • Filename
    5679858