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A methodology for semi-automatic classification schema building

Other Computer Science 2009-10-06 v1

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.

Keywords

Cite

@article{arxiv.0910.0735,
  title  = {A methodology for semi-automatic classification schema building},
  author = {Erika De Francesco and Salvatore Iiritano and Antonino Spagnolo and Marco Iannelli},
  journal= {arXiv preprint arXiv:0910.0735},
  year   = {2009}
}

Comments

36 pages

R2 v1 2026-06-21T13:54:08.225Z