A visual edition tool for design and verification of knowledge in rule-based systems

被引:0
|
作者
Nalepa, Grzegorz J. [1 ]
Lige¸za, Antoni [1 ]
机构
[1] AGH University of Science and Technology, Institute of Automatics
来源
Systems Science | 2005年 / 31卷 / 03期
关键词
Computer aided software engineering - Computer operating systems - Expert systems - Knowledge engineering - Problem solving - Trees (mathematics);
D O I
暂无
中图分类号
学科分类号
摘要
In order to address problems encountered in the design of rule-based and expert systems the paper discusses a proposal of a new approach to rule-based system design and verification using an integrated CASE tool supporting visual design of rule-based systems. The Mirella tool allows for dynamic on-line specification of components of the knowledge with simultaneous analysis of the rule-based system during the design phase. The main idea is to move the design procedure to a more abstract, logical level, where knowledge specification is based on use of abstract rule representation, called extended Tabular Trees, supported by Mirella CASE tool. It consists of visual design environment integrated with Prolog-based analysis and verification engine. Along with editor's built in on-line checking capabilities it improves system performance and safety. Selected implementation aspects are also highlighted. The environment is implemented in ANSI C in the GNU/Linux environment using Gtk/GNOME/SWI-Prolog development platform. This makes it both efficient and portable. The tool has a multilayer, multimodule architecture which gives it flexibility and allows future extensions.
引用
收藏
页码:103 / 109
相关论文
共 50 条
  • [31] EXPERT SYSTEMS IN HISTOPATHOLOGY .2. KNOWLEDGE REPRESENTATION AND RULE-BASED SYSTEMS
    BARTELS, PH
    HIESSL, H
    ANALYTICAL AND QUANTITATIVE CYTOLOGY AND HISTOLOGY, 1989, 11 (03): : 147 - 153
  • [32] A Rule-based System for Web site Verification
    Ballis, D.
    Garcia-Vivo, J.
    ELECTRONIC NOTES IN THEORETICAL COMPUTER SCIENCE, 2006, 157 (02) : 11 - 17
  • [33] A synthesis of fuzzy rule-based system verification
    Viaene, S
    Wets, G
    1998 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AT THE IEEE WORLD CONGRESS ON COMPUTATIONAL INTELLIGENCE - PROCEEDINGS, VOL 1-2, 1998, : 985 - 990
  • [34] Rule-based ship design
    不详
    NAVAL ARCHITECT, 2007, : 159 - +
  • [35] Rule-Based Verification Method of Requirements Ontology
    Dang Viet Dzung
    Bui Quang Huy
    Ohnishi, Atsushi
    IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 2014, E97D (05): : 1017 - 1027
  • [36] A synthesis of fuzzy rule-based system verification
    Viaene, S
    Wets, G
    Vanthienen, J
    FUZZY SETS AND SYSTEMS, 2000, 113 (02) : 253 - 265
  • [37] Customizable Rule-Based Verification of Requirements Ontology
    Dzung, Dang Viet
    Ohnishi, Atsushi
    2014 IEEE 1ST INTERNATIONAL WORKSHOP ON ARTIFICIAL INTELLIGENCE FOR REQUIREMENTS ENGINEERING (AIRE), 2014, : 19 - 26
  • [38] An approach to rule-based knowledge extraction
    Jin, YC
    von Seelen, W
    Sendhoff, B
    1998 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AT THE IEEE WORLD CONGRESS ON COMPUTATIONAL INTELLIGENCE - PROCEEDINGS, VOL 1-2, 1998, : 1188 - 1193
  • [39] Knowledge Authoring for Rule-Based Reasoning
    Gao, Tiantian
    Fodor, Paul
    Kifer, Michael
    ON THE MOVE TO MEANINGFUL INTERNET SYSTEMS (OTM 2018), PT II, 2018, 11230 : 461 - 480
  • [40] Design and Development of Granular Fuzzy Rule-Based Models for Knowledge Transfer
    Zhu, Xiubin
    Wang, Dan
    Pedrycz, Witold
    Li, Zhiwu
    IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2023, 53 (02): : 704 - 715