A methodology for semi-automatic classification schema building

2009/10/05 by De Francesco, Erika, Iiritano, Salvatore, Spagnolo, Antonino +1
#FOS: Computer and information sciences #Other Computer Science (cs.OH)

paper · doi:10.48550/arxiv.0910.0735

Abstract

This paper describe a methodology for semi-automatic classification schema definition (a classification schema is a taxonomy of categories useful for automatic document classification). The methodology is based on: (i) an extensional approach useful to create a typology starting from a document base, and (ii) an intensional approach to build the classification schema starting from the typology. The extensional approach uses clustering techniques to group together documents on the basis of a similarity measure, whereas the intensional approach uses different operations (aggregation, reduction, generalization specialization) to define classes. keywords: ontology, classification schema, fundamentum divisionis, cluster analysis classification task.

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• TaBIIC: Taxonomy Building through Iterative and Interactive Clustering
• Expériences de classification d'une collection de documents XML de structure homogène
• Experiments in Clustering Homogeneous XML Documents to Validate an Existing Typology