Abstract
Case-based reasoning (CBR) is a problem-solving strategy which tries to leverage past experiences (cases) to solve incoming situations. On the other hand, ontologies are proving to be a means to facilitate sharing and reuse of bodies of knowledge across organizations and applications on the basis of a well-defined semantics for concepts and their relationships. To a certain extent, organizations may wish to operate in an autonomous, independent way, but also may wish to improve enterprise collaboration for competitiveness reasons, strategic alliances, etc. In order to achieve the integration of distributed knowledge bases used in decision making systems, a formal characterization of cases through their ontological description is presented, as well as their interrelationships with cases stored in other different repositories. We propose the use of domain classification and term mappings techniques, in concert with an Internet-operative platform that combines agent and service technologies, intended to satisfy and accomplish effective knowledge sharing across organizations.
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Trigueros, E., Hurtado, M.V., Benghazi, K., Zurita, JM. (2010). An Agent-, Service-Based Platform Supporting Ontological Integration of Proficient Knowledge Managed in Decision Making. In: Demazeau, Y., et al. Trends in Practical Applications of Agents and Multiagent Systems. Advances in Intelligent and Soft Computing, vol 71. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12433-4_39
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DOI: https://doi.org/10.1007/978-3-642-12433-4_39
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