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Ontological emergence based on context analysis as a service for intelligent environments

Abstract:

An Intelligent Environment (IE) is composed by intelligent devices that interact with each other in carrying out their task, and they need to understand their contexts to provide adequate services to their users. An IE for Learning in the Cloud (IECL) is one that facilitates the location and use of educational services available in the cloud, which will be made available to users (teachers and students), resulting in an improvement of their teaching-learning process. One of the fundamental aspects for the development of IECLs, it is the contextual awareness. This paper integrates an IECL, based on Multi-Agent Systems, with services of Context Awareness, which enrich the Semantic Model of the IECL, characterized by an ontological knowledge base, which allows the agents of AmICL to take decisions adapted to the context. Particularly, through processes of ontological mining and using meta-ontologies, emerge ontological models appropriate to the context.