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D. Schall, F. Skopik:
"Mining and Composition of Emergent Collectives in Mixed Service-Oriented Systems";
Talk: 12th IEEE International Conference on Commerce and Enterprise Computing (CEC 2010), Shanghai, China; 11-10-2010 - 11-12-2010; in: "Proceedings of the 12th IEEE International Conference on Commerce and Enterprise Computing (CEC 2010)", K. Chao, C. Huemer, B. Hofreiter, Y. Li, N. Shah (ed.); IEEE, (2010), ISBN: 978-0-7695-4228-7; 212 - 219.

Complex service-oriented systems typically span
interactions between people and services. Compositions in such
systems demand for flexible interaction models. In this work we
introduce an approach for discovering experts based on their
dynamically changing skills and interests. We discuss human
provided services and an approach for managing user preferences
and network structures. Experts offer their skills and
capabilities as human provided services that can be requested
on demand. Our main contributions center around an expert
discovery method based on the concept of hubs and authorities
in Web-based environments. The presented discovery and
interaction approach takes trust-relations and link properties
in social networks into account to estimate the hub-expertise
of users. Furthermore, we show how our approach supports
flexible interactions in mixed service-oriented systems.

mixed service-oriented systems, expert discovery, emergent collectives, hubs and authorities, ExpertHITS

Project Head Schahram Dustdar:
Compliance-driven Models, Languages, and Architectures for Services