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• W64852417 abstract "The need of sharing data and resources to foster semantic collaboration is a key problem at the current stage of development of open distributed systems. In this context, autonomous and self-organizing communities of peers emerge by bringing together those peers that are interested in similar topics and plan to strengthen their cooperations. The Ph.D. thesis abstract illustrates a semantic handshake process based on ontologies and ontology matching techniques to handle consensus negotiation and peer community formation. Furthermore, we discuss the possible benefits deriving from semantic community adoption by describing the community-aware query propagation strategy for effective distribution of resource requests on a semantic basis within a committed community. 1 The research question of the thesis The need of sharing data and resources to foster semantic collaboration is a key problem at the current stage of development of open distributed systems, like P2P networks, and semantic Grids [2]. In this context, the emergence of collaboration among peers requires dynamic capabilities of negotiating agreements on common interpretations within the context of a given task. This is typical for instance of peer-based systems, characterized by a set of independent peer parties without prior reciprocal knowledge and no degree of relationship, that dynamically need to cooperate by sharing their resources (e.g., data, documents, services). These collaboration scenarios are multi-knowledge, in that no centralized authorities are defined to manage a comprehensive view of the resources shared by all the nodes in the system, due to the high dynamism and variability of collaboration and sharing requirements. On the opposite, each peer is responsible of providing the knowledge description of the resources to be shared through its own ontology. In order to facilitate resource discovery in such highly dynamic and open contexts, the formation of autonomous and self-organizing communities of parties poses new issues to be investigated and some work in this direction has been appeared in the literature [1, 3, 8, 9]. Communities aim to handle the problem of high network traffic due to single-peer interactions and to 1152 CAiSE'06 Doctoral Consortium" @default.
• W64852417 created "2016-06-24" @default.
• W64852417 creator A5007380154 @default.
• W64852417 date "2006-01-01" @default.
• W64852417 modified "2023-09-27" @default.
• W64852417 title "Emergent Communities for Semantic Collaboration in Multi-Knowledge Environments: Methods and Techniques." @default.
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