Web-based collaborations and processes have become essential in today’s business environments.
Web-based
collaborations and processes have become essential in today’s business
environments. Such processes typically span interactions between people and
services across globally distributed companies. Web services and SOA are the
defector technology to implement compositions of humans and services. The
increasing complexity of compositions and the distribution of people and
services require adaptive and context-aware interaction models. To support
complex interaction scenarios, we introduce a mixed service-oriented system
composed of both human-provided and Software-Based Services (SBSs) interacting
to perform joint activities or to solve emerging problems. However,
competencies of people evolve over time, thereby requiring approaches for the automated
management of actor skills, reputation, and trust. Discovering the right actor
in mixed service-oriented systems is challenging due to scale and temporary
nature of collaborations. We present a novel approach addressing the need for
flexible
involvement
of experts and knowledge workers in distributed collaborations. We argue that
the automated inference of trust between members is a key factor for successful
collaborations. Instead of following a security perspective on trust, we focus
on dynamic trust in collaborative networks. We discuss Human-Provided Services
(HPSs) and an approach for managing user preferences and networkstructures.
HPS allows experts to offer their skills and capabilities as services that can
be requested on demand.
Our main contributions center around a
context-sensitive trust-based algorithm called ExpertHITS inspired by the
concept of hubs and authorities in web-based environments. ExpertHITS takes
trust-relations and link properties in social networks into account to estimatethe
reputation of users.
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