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Configuring service recovery planning with the CommonKADS library

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Advances in Knowledge Acquisition (EKAW 1996)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1076))

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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 CommonKADS library.

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References

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Nigel Shadbolt Kieron O'Hara Guus Schreiber

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© 1996 Springer-Verlag Berlin Heidelberg

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Arlanzón, V., Bernaras, A., Laresgoiti, I. (1996). Configuring service recovery planning with the CommonKADS library. In: Shadbolt, N., O'Hara, K., Schreiber, G. (eds) Advances in Knowledge Acquisition. EKAW 1996. Lecture Notes in Computer Science, vol 1076. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61273-4_22

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  • DOI: https://doi.org/10.1007/3-540-61273-4_22

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-61273-5

  • Online ISBN: 978-3-540-68391-9

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