Conversational CBR has been used successfully for several years but building a new system demands a great cognitive effort of knowledge engineers and using it demands a similar effort of users. In this paper we use ontologies as the driving force to structure a development methodology where previous design efforts may be reused. We review the main issues of current CCBR models and their specific solutions. We describe afterwards how these solutions may be integrated in a common methodology to be reused in other similar CCBR systems. We particularly focus on the authoring issues to represent the knowledge. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Gómez-Gauchía, H., Díaz-Agudo, B., & González-Calero, P. (2006). Ontology-driven development of conversational CBR systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4106 LNAI, pp. 309–324). Springer Verlag. https://doi.org/10.1007/11805816_24
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