An Information Space Using Topic Identification for Retrieved Documents
We present a model of an Information Space (IS) that combines the Vector Space Model (VSM) with conceptual hierarchies for Information Retrieval (IR). This model will allow navigating between both representations helping the user in the retrieval process. The goal is to filter the documents the user is interested based on the theme.
KeywordsInformation Retrieval Internal Model Information Space Vector Space Model Topic Identification
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