Mining and Composition of Emergent Collectives inMixed Service-Oriented Systems
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
Daniel Schall Florian Skopik
Distributed Systems Group Vienna University of Technology Argentinierstraβe 8/184-1, A-1040 Vienna, Austria
国际会议
上海
英文
212-219
2010-11-10（万方平台首次上网日期，不代表论文的发表时间）