RoSy: A Rough Knowledge Base System
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-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 language | English |
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Title of host publication | Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing |
Editors | Dominik Slezak, JingTao Yao, James F. Peters, Wojciech Ziarko, Xiaohua Hu |
Number of pages | 11 |
Publisher | Springer |
Publication date | 2005 |
Pages | 48-58 |
ISBN (Print) | 3-540-28660--8, 978-3-540-28660-8 |
DOIs | |
Publication status | Published - 2005 |
Externally published | Yes |
Event | 10th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2005 - Regina, Canada Duration: 31 Aug 2005 → 3 Sep 2005 |
Conference
Conference | 10th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2005 |
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Land | Canada |
By | Regina |
Periode | 31/08/2005 → 03/09/2005 |
Series | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 3642 LNAI |
ISSN | 0302-9743 |
ID: 275935839