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Title:
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ROUGH FUZZY APPROACH FOR USER-CENTRIC TEXT INFORMATION RETRIEVAL |
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Author(s):
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Shailendra Singh |
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ISBN:
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972-98947-5-2 |
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Editors:
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Pedro Isaías, Piet Kommers and Maggie McPherson |
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Year:
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2004 |
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Edition:
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2 |
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Keywords:
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Rough fuzzy reasoning, User- preference based learning, Query modification, Text filtering, Ontology based query
processing. |
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Type:
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Doctoral Paper |
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First Page:
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1175 |
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Last Page:
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1179 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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In this paper, we have considered the problem of user-centric text information retrieval from web documents. We have
proposed a complete framework to show how rough set based reasoning can be used to build a user relevance feedback
based text filtering system. The system uses discernibilty analysis to analyze the users relevance feedback on a set of
documents obtained with the initial query to obtain a more focused, modified query. In order to provide customized
information to the user, the documents fetched by the modified query are ranked by the system using rough-membership
functions. We have also integrated fuzzy reasoning concepts into our analysis to deal with certain aspects of natural
language nuances like synonymy and provide fuzzy grading to documents. Finally, we have tried to provide a framework
whereby ontological structures can be used for concept approximations using rough sets. We have also shown how
hedge-algebra based reasoning can be used to reason about properties of concepts. |
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