\({\mathcal R}o{\mathcal S}y\): A Rough Knowledge Base System

  • Robin Andersson
  • Aida Vitória
  • Jan Małuszyński
  • Jan Komorowski
Conference paper

DOI: 10.1007/11548706_6

Part of the Lecture Notes in Computer Science book series (LNCS, volume 3642)
Cite this paper as:
Andersson R., Vitória A., Małuszyński J., Komorowski J. (2005) \({\mathcal R}o{\mathcal S}y\): A Rough Knowledge Base System. In: Ślęzak D., Yao J., Peters J.F., Ziarko W., Hu X. (eds) Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing. RSFDGrC 2005. Lecture Notes in Computer Science, vol 3642. Springer, Berlin, Heidelberg

Abstract

This paper presents a user-oriented view of \({\mathcal R}o{\mathcal S}y\), a \({\mathcal R}{\rm ough}\) Knowledge Base \({\mathcal S}\)ystem. The system tackles two problems not fully answered by previous research: the ability to define rough sets in terms of other rough sets and incorporation of domain or expert knowledge. We describe two main components of \({\mathcal R}o{\mathcal S}y\): knowledge base creation and query answering. The former allows the user to create a knowledge base of rough concepts and checks that the definitions do not cause what we will call a model failure. The latter gives the user a possibility to query rough concepts defined in the knowledge base. The features of \({\mathcal R}o{\mathcal S}y\) are described using examples. The system is currently available on a web site for online interactions.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Robin Andersson
    • 1
  • Aida Vitória
    • 2
  • Jan Małuszyński
    • 3
  • Jan Komorowski
    • 1
  1. 1.The Linnaeus Centre for BioinformaticsUppsala UniversityUppsalaSweden
  2. 2.Dept. of Science and TechnologyLinköping UniversityNorrköpingSweden
  3. 3.Dept. of Computer and Information ScienceLinköping UniversityLinköpingSweden

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