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Titlebook: Semantic Agent Systems; Foundations and Appl Atilla Elçi,Mamadou Tadiou Koné,Mehmet A. Orgun Book 2011 Springer-Verlag Berlin Heidelberg 20

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Studies in Computational Intelligencehttp://image.papertrans.cn/s/image/864623.jpg
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A Layered Manufacturing System Architecture Supported with Semantic Agent Capabilitieshe manufacturing systems domain, there is very little work on semantically enabled agent systems. This chapter introduces a layered architecture for manufacturing systems based on agent systems and discusses relevant capabilities of the semantic agents based on real-world use cases.
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Programming Semantic Agent for Distributed Knowledge Managementnto an agent architecture that allows agents to represent their knowledge and their behavior in a semantic manner. We present the semantic agent model, its implementation and we discuss the perpectives open by semantic agents.
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Measuring Complexity for MAS Design in the Presence of Ontology Heterogeneityhe communication scenario. An overview of current solutions is discussed, analyzing the important aspects to consider for each solution approach. Finally, a comparison with various MAS examples is presented to observe the differences between architectures and their associated costs.
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Identifying Novel Topics Based on User Interestsore, our agent presents recommendations with a new measure, score of novelty, so that the user may better understand how novel the recommended items are. By letting the user browse topics against novel items with scores of novelty, we try to expand user interests significantly.
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SBVR-Driven Information Governance: A Case Study in the Flemish Public Administrationn and Training (FMET) and EDS-Telindus, now HP, appreciated the subtle difference between data and information, and the need for more maturity regarding the governance of their vast (meta-)data landscape. This is shown by initiatives such as the development of a Data Warehouse and an Information Governance Organization.
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