Titlebook: Knowledge Engineering, Machine Learning and Lattice Computing with Applications; 16th International C Manuel Gra?a,Carlos Toro,Lakhmi C. Ja

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Multi-Relational Learning for Recommendation of Matches between Semantic Structurestween nodes of semantic structures. The system may be seen as realizing a probabilistic inference with regard to the relation representing the ‘semantic equivalence’ of ontology classes. Despite the fact that TRRLS is based on the new idea of algebraic modeling of multi-relational data, it provides

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Ontology Recompositionnt quality of service discovery and composition, ontologies that are used to describe services should contain many concepts and relations, which makes them big and thus unsuitable to be processed mobile devices. To fully exploit the power of a service-oriented approach in a pervasive computing envir

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Reasoning about Dialogical Strategiesto win a dialogue game. We model agent communication using the paradigm of formal systems of dialogues and in particular, a system proposed by Prakken. In the paper, the traditional notion of a winning strategy is extended with a notion of a strategy giving a . for success and a notion of a strategy

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