Abstract
This paper presents an information retrieval methodology which uses Formal Concept Analysis in conjunction with semantics to provide contextual answers to Web queries The conceptual context defined in this article can be global - i.e. stable- or instantaneous- i.e. bounded by the global context. Our methodology consists first in a pre-treatment providing the global conceptual context and then in an online contextual processing of users’ requests, associated to an instantaneous context. Our information retrieval process is illustrated through experimentation results in the tourism domain. One interest of our approach is to perform a more relevant and refined information retrieval, closer to the users’ expectation.
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Le Grand, B., Aufaure, MA., Soto, M. (2009). Semantic and Conceptual Context-Aware Information Retrieval. In: Damiani, E., Yetongnon, K., Chbeir, R., Dipanda, A. (eds) Advanced Internet Based Systems and Applications. SITIS 2006. Lecture Notes in Computer Science, vol 4879. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01350-8_23
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DOI: https://doi.org/10.1007/978-3-642-01350-8_23
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