• DocumentCode
    3259892
  • Title

    Application of the abstractional concept mapping theory for the interpretation of novel metaphor

  • Author

    Dierbach, Charles

  • Author_Institution
    Dept. of Comput. & Inf. Sci., Towson Univ., MD, USA
  • fYear
    2005
  • fDate
    23-25 May 2005
  • Firstpage
    157
  • Lastpage
    162
  • Abstract
    In this paper, we discuss the current status of an analogy generation environment based on the abstractional concept mapping theory, and in particular, its potential application for interpretation of novel metaphors in natural language processing. Current work involves the ultimate implementation of an integrated analogy generation, learning, and problem-solving environment based on this theory. We discuss here what has been accomplished so far towards this end (a) an initial, partial implementation of the analogy model, (b) implementation of a set of tools for use in the analogy environment, and (c) investigation of the application of such a system as an embedded component of a natural language processing system.
  • Keywords
    case-based reasoning; learning (artificial intelligence); natural languages; problem solving; abstractional concept mapping theory; analogy generation environment; integrated analogy generation; learning; natural language processing; novel metaphor interpretation; problem solving; Application software; Artificial intelligence; Computational modeling; Knowledge representation; Logic; Natural language processing; Problem-solving; Robustness; Software engineering; Vocabulary;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, 2005 and First ACIS International Workshop on Self-Assembling Wireless Networks. SNPD/SAWN 2005. Sixth International Conference on
  • Print_ISBN
    0-7695-2294-7
  • Type

    conf

  • DOI
    10.1109/SNPD-SAWN.2005.22
  • Filename
    1434883