Knowledge source network configuration approach to knowledge logistics

Today multidisciplinary real-world problem solving requires an intensive knowledge integration and exchange between participants of the global information environment. Along with a large number of available distributed knowledge sources (KSs) this has led to the appearance of a new direction in knowledge management called knowledge logistics (KL). The paper describes a KSNet-approach, being developed to build an intelligent support system addressing problems of KL through knowledge fusion (KF). The approach is mainly based on such technologies as ontology management and intelligent agents. In the KSNet-approach, a multi-agent system architecture based on FIPA Reference Model was chosen as a technological basis for definition of agent properties and functions and FIPA ontology definition was used for knowledge representation. As a general model of ontology representation the object-oriented constraint network paradigm was proposed. The most important ideas of the proposed KSNet-approach were implemented and verified via a developed software prototype of the system “KSNet”.

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