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