A methodology for ontology integration
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An extensible discovery service for smart things
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Proceedings of the twenty-fourth annual ACM symposium on Parallelism in algorithms and architectures
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Euro-Par'07 Proceedings of the 13th international Euro-Par conference on Parallel Processing
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Advanced information systems increasingly use diverse domain-specific resources like services, data, knowledge, etc. One of the today's ubiquitous computing challenges is to automate the mobilization of heterogeneous distributed resources and to allocate them to user-tasks. In this paper, we propose a semantic agent system to solve the problem of resources mobilization and allocation taking into account the continuous changes of the resources conditions. We first propose a formal model of an efficient Resources Mobilization Semantic Agent. Our proposed model is mainly based on ontological models representing basic entities of a collaborative environment as well as their interrelations, rules, inference engine, and object oriented components for resources data processing. Then we suggest mechanisms to handle the discovered resources in terms of updating, filtering, ranking, and allocating. We also provide an application example from the eHealth domain to demonstrate how the proposed semantic agent system can efficiently support the mobilization and allocation of different types of resources according to the user-tasks specifications and to the discovered resources conditions in terms of availability, accessibility, and capability.