Document (#10131)

Author
Marega, R.
Pazienza, M.T.
Title
CoDHIR: an information retrieval system based on semantic document representation
Source
Journal of information science. 20(1994) no.6, S.399-412
Year
1994
Abstract
Describes an information retrieval (IR) system, implemented as a part of a Content Driven Hypertext Information Retrieval (CoDHIR) project. Focuses on the use of semantic information that can be automatically acquired by applying natural language processing (NLP) techniques to texts. The information is represented using conceptual graphs. The problems of synonyms and homonyms is addressed by using a model based on the interpretation of conceptual graphs extracted from texts. The detection of contextual roles of words allows an improvement in retrieval precision over traditional IR technologies. Ranking of documents, based on document relevance, is obtained by extending the vector space model into an oblique space and taking into account the relevance among different word couples

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