Configuring service recovery planning with the commonKADS library

V. Arlanzón, A. Bernaras, I. Laresgoiti

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

It has become clear that KBS development, if intended to meet existing industrial quality standards, will have to follow a well structured engineering approach. This, in turn, might increase the reliability of the product and reduce the development costs, thus increasing productivity. CommonKADS is a methodology for KBS development supported by a library of reusable modeling components. This methodology and its library can provide the means for the methodological approach required in the development of knowledge intensive systems. Service recovery planning is a knowledge intensive process whose aim is to drive safely an electrical network from a disturbance situation to its normal operating condition. Many types of knowledge are required in a service recovery planning application, and thus, we consider that the effort spent using a structured methodology for its design will be paid for by the identification of components and structured knowledge that can be reused in related applications. It is for this reason that we have attempted to model this real-world problem using the reusable components provided by the CommonKADS library. In this paper we present this modeling process and its results. We also present some conclusions with respect to the use of the C0mmonKADS library.

Original languageEnglish
Title of host publicationAdvances in Knowledge Acquisition - 9th European Knowledge Acquisition Workshop, EKAW 1996, Proceedings
EditorsNigel Shadbolt, Kieron O'Hara, Guus Schreibe
PublisherSpringer Verlag
Pages338-353
Number of pages16
ISBN (Print)3540612734, 9783540612735
DOIs
Publication statusPublished - 1996
Event9th European Knowledge Acquisition Workshop, EKAW 1996 - Nottingham, United Kingdom
Duration: 14 May 199617 May 1996

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1076
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference9th European Knowledge Acquisition Workshop, EKAW 1996
Country/TerritoryUnited Kingdom
CityNottingham
Period14/05/9617/05/96

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