RoSy: A Rough Knowledge Base System

Robin Andersson*, Aida Vitória, Jan Małuszyński, Jan Komorowski

*Corresponding author af dette arbejde

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningpeer review

4 Citationer (Scopus)

Abstract

This paper presents a user-oriented view of RoSy, a Though Knowledge Base System. 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 RoSy: 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 RoSy are described using examples. The system is currently available on a web site for online interactions.

OriginalsprogEngelsk
TitelRough Sets, Fuzzy Sets, Data Mining, and Granular Computing
RedaktørerDominik Slezak, JingTao Yao, James F. Peters, Wojciech Ziarko, Xiaohua Hu
Antal sider11
ForlagSpringer
Publikationsdato2005
Sider48-58
ISBN (Trykt)3-540-28660--8, 978-3-540-28660-8
DOI
StatusUdgivet - 2005
Udgivet eksterntJa
Begivenhed10th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2005 - Regina, Canada
Varighed: 31 aug. 20053 sep. 2005

Konference

Konference10th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2005
Land/OmrådeCanada
ByRegina
Periode31/08/200503/09/2005
NavnLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Vol/bind3642 LNAI
ISSN0302-9743

Citationsformater