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Seminar Details

Date 30-7-2004
Time 11:30
Room/Location Conference room (322)
Title Text Mining at Detail Level using Conceptual Graphs
Speaker Manuel Montes y Gomez
Affiliation Computer Science Department, National Institute of Astrophysics, Optics and Electronics of Mexico
Link https://www.disi.unige.it/person/RovettaS/seminars.html
Abstract Text mining is defined as knowledge discovery in large text collections. It detects interesting patterns such as clusters, associations, deviations, similarities, and differences in sets of texts. Current text mining methods use simplistic representations of text contents, such as keyword vectors, which imply serious limitations on the kind and meaningfulness of possible discoveries. I will show how to do some typical mining tasks using conceptual graphs as formal but meaningful representation of texts. Our methods involve qualitative and quantitative comparison of conceptual graphs, conceptual clustering, building a conceptual hierarchy, and application of data mining techniques to this hierarchy in order to detect interesting associations and deviations. Our experiments show that, despite widespread misbelief, detailed meaningful mining with conceptual graphs is computationally affordable.
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