Semantic Agent Oriented Architecture for Researcher Profiling and Association (SemoRA)

Modern research is becoming increasingly distributed and networked. In this context collaboration among researchers is essential. This work develops an architectural solution aimed at providing a knowledge-based collaborative framework especially targeted for the research domain. The proposed architecture, called Semantic Agent-Oriented Architecture for Researcher Profiling and Association (SemoRA), is based on a multi-agent paradigm and adopts Semantic Web technologies for knowledge representation and retrieval. Through the combined use of agents, ontologies and logical inferencing, SemoRA provides an efficient and robust means of facilitating the development of distributed research networks.