Rough set theory using similarity of objects described by ontology

Yusei Inukai, Andreas Gehrmann, Yoshimitsu Nagai, Syohei Ishizu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Rough set theory was proposed by Pawlak Z. and is well used in the area of data mining. The main role of rough set theory is to extract important sets of attributes and decision rules based on the knowledge about objects. Rough set theory is defined by information system which is a finite information table. Although recently the concept of ontology is used in knowledge engineering, Semantic Web, etc. Since ontology can flexibly represent knowledge of the universe of discourse, rough set theory using the concept of ontology enables us to use flexible information system in ontological description. One of our main aims of this paper is to propose rough set theory applied the concept of ontology to. For flexibility, ontology often consists of complex objects. We formulate a concept of similarity which measures a degree of relationship among complex objects. The concept of similarity is useful for extracting important sets of attributes defined by flexibly represented knowledge. We present steps for finding a set of decision rule based on the proposed concepts. We demonstrate the concepts and steps by using simple examples.

Original languageEnglish
Title of host publicationInternational Society for the Systems Sciences - 51st Annual Meeting of the International Society for the Systems Sciences, ISSS 2007
Pages1049-1056
Number of pages8
Publication statusPublished - 1 Dec 2007
Event51st Annual Meeting of the International Society for the Systems Sciences, ISSS 2007 - Tokyo, Japan
Duration: 5 Aug 200710 Aug 2007

Publication series

NameInternational Society for the Systems Sciences - 51st Annual Meeting of the International Society for the Systems Sciences, ISSS 2007

Conference

Conference51st Annual Meeting of the International Society for the Systems Sciences, ISSS 2007
CountryJapan
CityTokyo
Period5/08/0710/08/07

Keywords

  • Degree of similarity
  • Information system
  • OWL
  • Ontology
  • Rough set theory

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    Inukai, Y., Gehrmann, A., Nagai, Y., & Ishizu, S. (2007). Rough set theory using similarity of objects described by ontology. In International Society for the Systems Sciences - 51st Annual Meeting of the International Society for the Systems Sciences, ISSS 2007 (pp. 1049-1056). (International Society for the Systems Sciences - 51st Annual Meeting of the International Society for the Systems Sciences, ISSS 2007).