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Title:
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MINING WEB QUERIES TO BOOST SEMANTIC CONTENT CREATION |
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Author(s):
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Konstantinos Kotis , Andreas Papasalouros , Manolis Maragkoudakis |
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ISBN:
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978-972-8924-93-5 |
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Editors:
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Pedro Isaías, Bebo White and Miguel Baptista Nunes |
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Year:
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2009 |
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Edition:
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2 |
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Keywords:
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Query logs, query mining, ontology learning, semantic content creation |
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Type:
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Short Paper |
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First Page:
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158 |
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Last Page:
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162 |
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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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The aim of the paper is to present an ontology learning approach that automatically constructs useful ontologies from
query logs. By providing users with a useful ontology that is automatically built from their needs i.e. users search
interests, in order to address their needs i.e. use of the learned ontology to query information precisely, a new approach
that can be considered an incentive in the semantic content creation bottleneck is introduced. The approach can be applied
in any set of queries (query logs) given that the queries are classified in specific domains. |
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