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Social Formation and Interactions in Evolving Service-oriented Communities
"... Abstract—The global scale and distribution of companies have changed the economy and dynamics of businesses. Web-based collaborations and cross-organizational processes typically require dynamic and context-based interactions between people and services. However, finding the right partner to work on ..."
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Abstract—The global scale and distribution of companies have changed the economy and dynamics of businesses. Web-based collaborations and cross-organizational processes typically require dynamic and context-based interactions between people and services. However, finding the right partner to work on joint tasks or to solve emerging problems in such scenarios is challenging due to scale (number of involved people and services) and the temporary nature of collaborations. Furthermore, actor skills and competencies evolve over time requiring dynamic approaches for the management of actor properties. Web services and SOA are the ideal technical framework to automate interactions spanning people and services. In this paper, we present a novel discovery mechanism based on social trust to support formation and dynamic interactions in serviceoriented collaboration networks. We argue that trust between members is essential for successful collaborations. Here we discuss profile similarity-based link establishment to connect disparate network segments. Keywords-interaction monitoring, trust inference, group formation, privacy issues, service-centric collaborations I.
Expressing and Aggregating Rich Event Descriptions
"... Abstract. Publishing information about upcoming events such as concerts and discussion group meetings in a structured format allows the event information to be aggregated, filtered and delivered to potential participants. Making automatic personalized recommendations about events requires structured ..."
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Abstract. Publishing information about upcoming events such as concerts and discussion group meetings in a structured format allows the event information to be aggregated, filtered and delivered to potential participants. Making automatic personalized recommendations about events requires structured metadata such as machine-understandable locations and semantic descriptions about the topic and audience of the event. We present a survey of the state of current semantic representation formats for events, including iCalendar and its RDFa and microformat representations, and show that their support for expressing rich structured metadata is limited. We have also tested how well different tools support and understand the formats. Based on the surveys we have implemented a rich event information schema for a health-oriented activity portal and developed an aggregation and validation tool for gathering and processing event information. 1

