Abstract
In this paper we present a new model, designated as Association Graph, to improve document representation, facilitating the ontological dimension. We explain how to generate and use this kind of graph. Also, we analyze different document similarity measures based on this representation. A classical vector space model was used to evaluate this model and measures, investigating their strengths and weaknesses. The proposed model was found to give promising results. © Springer-Verlag Berlin Heidelberg 2005.
Cite
CITATION STYLE
Pagola, J. E. M., Martínez, E. G., Palancar, J. H., Díaz, A. H., & León, R. H. (2005). Similarity measures in documents using association graphs. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3773 LNCS, pp. 741–751). https://doi.org/10.1007/11578079_77
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