RoSy: A Rough Knowledge Base System

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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.

Original languageEnglish
Title of host publicationRough Sets, Fuzzy Sets, Data Mining, and Granular Computing
EditorsDominik Slezak, JingTao Yao, James F. Peters, Wojciech Ziarko, Xiaohua Hu
Number of pages11
PublisherSpringer
Publication date2005
Pages48-58
ISBN (Print)3-540-28660--8, 978-3-540-28660-8
DOIs
Publication statusPublished - 2005
Externally publishedYes
Event10th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2005 - Regina, Canada
Duration: 31 Aug 20053 Sep 2005

Conference

Conference10th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2005
LandCanada
ByRegina
Periode31/08/200503/09/2005
SeriesLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3642 LNAI
ISSN0302-9743

ID: 275935839