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Added Value of Ontologies for Modeling an Organizational Memory
Abstract
With the aim to manage and retrieve the organizational knowledge, in the last years numerous proposals of models and tools for knowledge management and knowledge representation have arisen. However, most of them store knowledge in a non-structured or semi-structured way, hindering the semantic and automatic processing of this knowledge. In this chapter the authors specify a case-based organizational memory ontology, which aims at contributing to the design of an organizational memory based on cases so that it can be used to support better decision-making. One ontology goal is to serve as a base for the organizational knowledge exchange with semantic power, which can facilitate the reuse, interoperability, and automatic processing by agents. In addition, the ontology aims to be at a high level from which other more specific representations can be formulated. In order to illustrate its utility a practical case is shown.
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