Proceedings ArticleDOI
User-specified domain knowledge for document retrieval
W. B. Croft
- pp 201-206
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TLDR
A method is presented of combining user-specified domain knowledge with efficient retrieval techniques based on probabilistic models that are being implemented as part of the I3R expert intermediary system.Abstract:
The introduction of domain knowledge into a document retrieval system has two important consequences; an increase in the effectiveness of retrieval and a decrease in the efficiency of text processing. In this paper, a method is presented of combining user-specified domain knowledge with efficient retrieval techniques based on probabilistic models. The domain knowledge is represented as a collection of frames that contain rules specifying recognition conditions for domain concepts and relationships between concepts. The inference network represented in these frames is used to infer the concepts that are related to a user's query. This approach is being implemented as part of the I3R expert intermediary system.read more
Citations
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Journal ArticleDOI
Term Weighting Approaches in Automatic Text Retrieval
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TL;DR: This paper summarizes the insights gained in automatic term weighting, and provides baseline single term indexing models with which other more elaborate content analysis procedures can be compared.
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A behavioral approach to information retrieval system design
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Book ChapterDOI
A non-classical logic for information retrieval
TL;DR: This paper is to be seen as describing a new theoretical framework for investigating information retrieval, and it is suggested that some attempt should be made to construct something like a naive model, using more than just keywords, of the content of each document in the system.
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A behavioural model for information retrieval system design
TL;DR: A behavioural model derived from analysis of the informa tion-seeking patterns of academic social scientists is employed to provide recommendations for information retrieval system design.
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Semantically enhanced Information Retrieval: An ontology-based approach
TL;DR: The major contribution of this work is an innovative, comprehensive semantic search model, which extends the classic IR model, addresses the challenges of the massive and heterogeneous Web environment, and integrates the benefits of both keyword and semantic-based search.
References
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Book
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W. B. Croft,R. H. Thompson +1 more
TL;DR: A system that provides a number of FACILITIES and SEARCH STRATEGIES based on an EMPHASIS on domain knowledge used for refining the model of the information need, and the provision of a blowing mechanism that allows the user to NAVIGATE through the knowledge base.
Journal ArticleDOI
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