Conceptual language models for domain-specific retrieval |
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| Authors: | Edgar Meij Dolf Trieschnigg Maarten de Rijke Wessel Kraaij |
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| Institution: | 1. ISLA, University of Amsterdam, Science Park 107, 1098 XG, Amsterdam, The Netherlands;2. HMI group, Faculty of EEMCS, University of Twente, P.O. Box 217, 7500 AE Enschede, The Netherlands;3. IFL, Radboud University Nijmegen and TNO ICT, P.O. Box 9010, 6500 GL Nijmegen, The Netherlands |
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| Abstract: | Over the years, various meta-languages have been used to manually enrich documents with conceptual knowledge of some kind. Examples include keyword assignment to citations or, more recently, tags to websites. In this paper we propose generative concept models as an extension to query modeling within the language modeling framework, which leverages these conceptual annotations to improve retrieval. By means of relevance feedback the original query is translated into a conceptual representation, which is subsequently used to update the query model. |
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| Keywords: | Information retrieval Meta-language Language modeling Query modeling |
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