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A study of methodological issues in design and development of rule‐based systems: proposal of a new approach
Author(s) -
Ligęza Antoni,
Nalepa Grzegorz J.
Publication year - 2011
Publication title -
wiley interdisciplinary reviews: data mining and knowledge discovery
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.506
H-Index - 47
eISSN - 1942-4795
pISSN - 1942-4787
DOI - 10.1002/widm.11
Subject(s) - computer science , knowledge representation and reasoning , software engineering , knowledge base , inference , process (computing) , representation (politics) , inference engine , data science , task (project management) , knowledge management , artificial intelligence , systems engineering , programming language , engineering , politics , political science , law
Rule‐based systems (RBSs) constitute a powerful technology for declarative encoding and automated processing of large bodies of knowledge. A typical RBS consists of a knowledge base containing facts and production rules, and an inference engine managing the reasoning process. Despite their simple conceptual scheme, design and development of a RBS often turn out to be unexpectedly complex task. This paper presents an overview of issues concerning design and development of such systems. Differences between RBSs and classical software are exemplified, and design and implementation issues are analyzed. A novel, consistent, three‐phase methodology incorporating conceptual, logical, and physical design is outlined. Moreover, tools supporting the complete design and development process are presented. © 2011 John Wiley & Sons, Inc. WIREs Data Mining Knowl Discov 2011 1 117‐137 DOI: 10.1002/widm.11 This article is categorized under: Application Areas > Business and Industry Fundamental Concepts of Data and Knowledge > Knowledge Representation Technologies > Visualization