Semantic Resource Management in MAS

In highly dynamic environments like academy and industry it is becoming essential the need of efficient systems for resources organization and discovery. In this paper we describe a semantic resources manager, called Resourceome. This system allows both to discover and organize resources for agents’ goals achievement. The ontological descriptions of resources and of domains allow to contextualize a resource instance in its domain through a concern relation. The proposed model supports the navigation from domain to resource concepts and vice versa. Resourceome represents our proposal for describing the particular vision of the world perceived by multi-agent systems.