Rough ontology: Extension of ontologies by rough sets

Syohei Ishizu, Andreas Gehrmann, Yoshimitsu Nagai, Yusei Inukai

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

15 Citations (Scopus)

Abstract

Ontology is widely used in the areas of knowledge engineering, web based data mining, etc. In rough set theory, accuracy of approximation of set and a concept of granularity are introduced. Rough set theory is very useful to define dependency among attributes and extract decision rules from the set. One of our main aims of this paper is to propose a concept of rough ontology. A concept of rough ontology is extended concept of rough set, and it enables us to use flexible information system in the form of ontology. And rough ontology is useful to introduce concepts rough set theory in to ontology. In this paper we formulate a concept of rough ontology, which is extended concept of rough set theory. We define upper and lower approximation, accuracy of approximation of preference, concept of granularity of preference. And we also show the property of rough ontology.

Original languageEnglish
Title of host publicationHuman Interface and the Management of Information
Subtitle of host publicationMethods, Techniques and Tools in Information Design - Symposium on Human Interface 2007. Held as Part of HCI International 2007, Proceedings
PublisherSpringer Verlag
Pages456-462
Number of pages7
EditionPART 1
ISBN (Print)9783540733447
DOIs
Publication statusPublished - 2007
EventSymposium on Human Interface 2007 - Beijing, China
Duration: 22 Jul 200727 Jul 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume4557 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceSymposium on Human Interface 2007
CountryChina
CityBeijing
Period22/07/0727/07/07

Keywords

  • Accuracy
  • Information system
  • OWL
  • Ontology
  • Rough set theory

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