Search results

An increasing number of enterprises are getting interested in exploiting their knowledge assets outside the organizational borders and in augmenting their knowledge network. A first generation of electronic knowledge marketplaces has been developed in order to provide the platforms for knowledge exchange and trading at inter‐organizational level. This paper develops a framework to evaluate the strategic issues, business models, roles, processes, and revenue models of knowledge trading platforms, and provides a detailed analysis of five existing knowledge marketplaces based on this framework. Finally, a set of conclusions is drawn on what issues should be addressed in a knowledge marketplace in order to eliminate the risks and gain the trust of its targeted customers.

The purpose of this paper is to propose an approach for describing and discovering knowledge resources in distributed environments.

The paper proposes a solution that includes a framework model and a technological infrastructure to achieve distributed knowledge discovery. It provides the solution based on a combination of research from knowledge management and distributed processing areas.

The paper finds a faceted ontology and three discrete models that best achieve distributed processing in terms of knowledge items and knowledge objects. By these mechanisms are provided to: represent knowledge in a generic manner that will unchain knowledge from tight links to specific contexts, purposes and audiences; discover and retrieve knowledge stored in distributed sources; interpret different knowledge representations to enable comprehension of knowledge on the recipient side and tackle the heterogeneity problem; and simplify and accelerate knowledge exchange in distributed environments.

The utilization of knowledge in distributed environments (intra‐ or inter‐organizational) presupposes the existence of a representation of knowledge in a commonly understandable manner. Knowledge resources are distributed in the web and databases in an unstructured manner.

The paper can be used as the basic consensus and infrastructure for the development of a coherent, manageable semantic web. The three models should be addressed in terms of commercial applications.

Knowledge management and distributed processing research fields are combined in order to provide a solution that best addresses the problem of distributed knowledge.