Knowledge Engineering for Practical Applications

Maurice Mulvenna, Peng Ye, Michael McTear, Maureen Murphy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Abstract

A method is necessary to develop any piece of complex software. There are many methodologies which span the spectrum of software development. These range from specialised methods which accommodate real-time issues, to methods which embrace object-oriented systems. In addition, for Knowledge Based System (KBS) development, the pre-eminent methodology is KADS1.The argument advanced in this paper is that, when building KBS for practical applications, the method used for analysis, design and development may not necessarily be a specialised KBS method. There are reasons for this decision. Firstly, the new generation of KBS form only a part of an IT solution. That is, the KBS may not be the dominant IT component. Therefore any method must encompass the whole IT solution. Secondly, as will be shown by the case studies outlined in this paper, the term “KBS” now encompasses many disparate AI technologies. Specialised KBS methodologies may be restrictive for the development of systems utilising Case Based Reasoning (CBR), Constraint Logic Programming (CLP), Fuzzy Systems, Adaptive Neural Networks, Object-Oriented Systems (OOS), or their combinations.
Original languageEnglish
Title of host publicationUnknown Host Publication
PublisherELITE-Foundation
Number of pages6
ISBN (Print)ISBN 3-86073-286-2
Publication statusAccepted/In press - 1 Aug 1994
EventSecond European Congress on Intelligent Techniques and Soft Computing - Aachen, Germany
Duration: 1 Aug 1994 → …

Conference

ConferenceSecond European Congress on Intelligent Techniques and Soft Computing
Period1/08/94 → …

Keywords

  • Knowledge Engineering

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  • Cite this

    Mulvenna, M., Ye, P., McTear, M., & Murphy, M. (Accepted/In press). Knowledge Engineering for Practical Applications. In Unknown Host Publication ELITE-Foundation.