Intelligent Hypermedia Retrieval

  • Citation-Key:
    Lalmas/etal:02a
  • Title:
    Intelligent Hypermedia Retrieval
  • Author(s):
    M. Lalmas
    Th. Roelleke
    N. Fuhr
  • Editor(s):
    P.~S. Szczepaniak
    F. Segovia
    L.~A. Zadeh
  • Publisher:
    Springer
  • In:
    Intelligent Exploration of the Web
  • Page(s):
    324--344
  • Year:
    2002

Abstract:


Intelligent retrieval of hypermedia documents requires sophisticated document representations and querying facilities that allow for content-based and fact-based querying as well as considering the structure of documents. This paper describes POOL, a Probabilistic Object-Oriented four-valued Logic, which allows a uniform view on hypermedia documents for the purpose of their retrieval: documents, images, authors, dates, etc. are treated as objects and POOL models the content of objects, the facts about objects, and the structure of objects to provide for a relevance-based ranking of hypermedia documents.

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