Abstract
We present a model of an Information Space (IS) that combines the Vector Space Model (VSM) with conceptual hierarchies for Information Retrieval (IR). This model will allow navigating between both representations helping the user in the retrieval process. The goal is to filter the documents the user is interested based on the theme.
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Newby, G. B.: An investigation of the role of navigation for information retrieval. In Proc. of the American Society for Information Science Annual Meeting. Medford, NJ: Learned Information (1992).
Salton, G. and McGrill, M.J.: Introduction to Modern Information Retrieval. McGraw Hill (1983).
Gelbukh A., Sidorov, G., Guzmán-Arenas, A.: A method of describing document contents through Topic Selection. In Proc. of 6th International Symposium on String Processing and Information Retrieval, SPIRE’99 (1999) 73–80.
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© 2001 Springer-Verlag Berlin Heidelberg
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Escorial, D. (2001). An Information Space Using Topic Identification for Retrieved Documents. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2001. Lecture Notes in Computer Science, vol 2004. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44686-9_51
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DOI: https://doi.org/10.1007/3-540-44686-9_51
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