Academic Position


Short Biography

Prof. George VOUROS (B.Sc, Ph.D) holds a BSc in Mathematics, and a PhD in Artificial Intelligence all from the University of Athens, Greece. Currently he is Professor in the Department of Information and Communication Systems Engineering, University of the Aegean. He started pursuing research in the areas of Expert Systems, and Conceptual Knowledge Representation. Currently he works in the areas of knowledge management, Ontologies (their engineering, alignment, mapping, coordination, learning and evolution), Agent organizations, collaborative agents and their adaptation, and architectures of collaborative agents. His published scientific work includes more than one hundred book chapters, journal and national and international conference papers in the above mentioned themes. He has served as program chair and chair and member of organizing committees of national and international conferences on related topics.
He has chaired the Department of Information and Communication Systems Engineering in its first 5 years (never forgets this period), established and directed the MSc of this Department since 20010, and chaired the board of the Hellenic Society of Artificial Intelligence (EETN) for four years in sequence (glad to step down after these 4 great years).

Research Interests

Concerning agents and multi-agent systems I am studying collaborative agents and their full-scale implementation. Although there are many theories and frameworks that have been proposed for the specification of collaborative agents’, these lack important details that make their applicability and scalability difficult. Implementations are based on simplifications, assumptions, and lack of attention to details which (if would be tackled) would add considerably to the existing complexity of the systems: Implemented systems and theories provide important pieces of the large puzzle. My research is being driven by realizing the generic theories, mechanisms and methods that drive agents’ collaborative activity in open, dynamic and unpredictable environments.

Applications that drive this research are intelligent interface agents and personal assistants for empowering humans to participate in activities within various settings. It must be noticed that it is considered to be important that this research is being driven by applications involving human and software agents. In these settings the aim is to build easy-to-use, distributed information systems of collaborative software and human agents.

As far as ontologies are concerned, I am particularly interested in methodologies and tools for learning, evolving and engineering living ontologies, as well as in methods for coordinating these ontologies. These are important issues for the successful deployment of ontologies in settings where information needs to be shared among (human or software) agents with different conceptualizations of a domain/task, with different interests, goals and different background knowledge. This research is being driven by uncovering the intended semantics of ontology elements, exploiting their formal representation, the contexts in which these elements and their lexicalizations appear.

This is being complimented by research on methods for the automatic semantic annotation of web services for their effective discovering.

Last, but not least, it must be pointed that in both fields of research my aim is to go in the large scale: Dealing with large sets of agents and studying how they can self-organize to share information effectively so as to coordinate their activities and provide ubiquitous, transparent services to peers, and dealing with many peers with different conceptualizations.