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Semantic agent system for automatic mobilization of distributed and heterogeneous resources

Published: 12 June 2013 Publication History

Abstract

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.

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      WIMS '13: Proceedings of the 3rd International Conference on Web Intelligence, Mining and Semantics
      June 2013
      408 pages
      ISBN:9781450318501
      DOI:10.1145/2479787
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Published: 12 June 2013

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      Author Tags

      1. collaborative environment
      2. knowledge representation
      3. ontology
      4. resources management
      5. rule-based reasoning
      6. task-based computing

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      Overall Acceptance Rate 140 of 278 submissions, 50%

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