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Smart collaboration networks - a toolkit and vision for creating and predicting trusted partnership

: Heinrich, G.; Keim, T.; Jung, C.; Krafzig, U.; Noll, S.

Cunningham, P.:
Innovation and the Knowledge Economy. Part 2 : Issues, Applications, Case Studies
Amsterdam: IOS Press, 2005
ISBN: 1-58603-563-0
eChallenges Conference <15, 2005, Ljubljana, Slovenia>
Fraunhofer IGD ()
trusted partnership; partner identification; conferencing; network for collaboration; search engine

In recent years, modern forms of collaboration such as virtual project teams gain importance. But how do individuals identify and select their collaboration partners possessing the required sets of hard and soft skills? While internet-based applications model individuals' resumes or contact networks, to date no applications exist that merge both worlds: human and social capital. This paper presents a software toolkit complementing expertise attributes by a set of historic and swift trust attributes. We then argue that merging these attribute sets will only be an intermediary step towards IS supported smart collaboration networks. We outline a decentralized architecture in which relational recommender systems allow for the prediction of trusted collaboration partnership thus assisting individuals in identifying the most suited collaboration partners from within or outside their personal contact network.