RoSy: a rough knowledge base system

  • Authors:

  • Robin Andersson;Aida Vitória;Jan Małuszyński;Jan Komorowski

  • Affiliations:

  • The Linnaeus Centre for Bioinformatics, Uppsala University, Uppsala, Sweden;Dept. of Science and Technology, Linköping University, Norrköping, Sweden;Dept. of Computer and Information Science, Linköping University, Linköping, Sweden;The Linnaeus Centre for Bioinformatics, Uppsala University, Uppsala, Sweden

  • Venue:
  • RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part II
  • Year:
  • 2005

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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.