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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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PurposeThis paper aims to present an approach to decision‐making in disaster response operations. The approach is based on ontology‐driven knowledge sharing and application of well‐developed tasks from the area of production network management, that in turn, enables using the existing problem‐solving methods and tools.Design/methodology/approachThe approach applies the decision‐making tasks used in production network management to solving the above‐mentioned problem.FindingsIt is shown that there exist many common features and requirements for decision‐making in industrial environment and in disaster relief operations. They both require applying such technologies as ontology and context management, constraint satisfaction and profiling. Sample tasks used in the considered problem domains are presented.Originality/valueThe described research is a step forward in extension of integrating relatively well‐developed technologies implemented in production networks to the quite new areas of disaster relief and humanitarian logistics.

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