While searching for information
نویسنده
چکیده
The paper presents an approach to automatically construct hypertext structures out of large document samples for a context-oriented retrieval. It contributes to the design of future infrastructure for large-scale information retrieval systems. As its crucial trait, profiles of usage will furnish the process of semantically mapping. This will be based on automatic text analysis that extract the informative content of a data collection applying functionality provided by a four-level architecture. On top of that, data-mining techniques such as transaction analysis, clustering, and classification will be applied to analyse users’ navigation activities in order to reveal contextual information that is implicitly contained in these profiles
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