An Agent Approach to Manage Heterogeneous and Distributed Knowledge

An Agent Approach to Manage Heterogeneous and Distributed Knowledge

Davy Monticolo (Université de Lorraine, Lorraine, France) and Inaya Lahoud (Galatasaray University, Istanbul, Turkey)
Copyright: © 2020 |Pages: 22
DOI: 10.4018/IJKBO.2020010102
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Abstract

Emphasis on knowledge and information is one of the challenges of the 21st century to differentiate the intelligent business enterprises. Enterprises have to develop their organization in order to capture, manage, and use information in a context of continually changing technology. Indeed, knowledge and information are completely distributed in the information network of the company. In addition, knowledge is, by nature, heterogeneous, since it is provided from different information sources like the software, the technical report, the meeting statements, etc. The authors present in this article the architecture of a multi-agent system, which allows the capitalization of the distributed and heterogeneous knowledge. They then present how the agents help business experts to design ontologies in detailing this problem and how the agents extract knowledge from different user databases by using a semantic approach.
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Agents And Ontologies To Manage Heterogeneous And Distributed Knowledge

OCEAN is a multi-agent system aiming to support the knowledge management process with four functionalities; the knowledge definition, the knowledge extraction, the knowledge evaluation and the knowledge reuse. We present in this section the interest of using a MAS to support the knowledge management process.

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