Abstract: This article addresses the relations between ontology-based knowledge management implemented by logic-oriented knowledge representation/retrieval approaches and knowledge management using case-based reasoning. We argue that knowledge management with CBR does not only very much resemble but indeed is a kind of ontology-based knowledge management since it is based on closely related ideas and a similar development methodology, although the reasoning paradigms are different. Therefore, we conclude by proposing to merge logic-oriented and case-based retrieval and also to extend the current view of the semantic web architecture respectively.

Rapidity of decision making process is an important factor for different areas of human life (business, healthcare, industry, military applications, etc.). Since responsible persons make decisions using available knowledge a delivery of necessary and timely information for knowledge management systems is important. Knowledge logistics is a new direction of knowledge management addressing this issue. It provides a set of activities for knowledge search, acquisition and integration from distributed sources located in information grid environment. The paper proposes a developed Knowledge Source Network approach (KSNet-approach) to knowledge logistics and its multi-agent architecture, and describes a research prototype of the system “KSNet ” based on this approach.