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Over the last decade, contextual modeling has gained on importance due to the wide spread introduction of ubiquitous and mobile computing. Common to these systems is that they integrate contextual information to improve situated cognition and awareness as well as stakeholders' usage experience with these systems. While domains such as the next generation of the Web - Web 3.0, which shares many commonalities...
Nowadays personalised service provisioning becomes more feasible due to the increasing availability of smart devices, such as smart phones, tablet computers, Personal Digital Assistants and Play stations. These smart devices can dynamically detect the context data and upload them to support other interesting software applications, such as Facebook and Google maps. Context can become richer and more...
In order to handle vague information of ontology mapping, a novel method based on the Fuzzy Formal Concept Analysis (FCA) theory was proposed. The ontology was first defined to model vague data, and then a fuzzy formal context was constructed with the combination of two ontologies. At last, a concept similarity measure model was proposed for improving ontology mapping. Compared with other ontology...
Currently, modeling and simulation systems have not gotten rid of “computer-centric” and “desktop computing” pattern. The new pattern of simulation of combing physical space with cyberspace can be realized by bringing pervasive technologies into simulation systems. Aiming at the characteristic and requirement of pervasive simulation, the pervasive simulation architecture based on Multi-Agent system...
Context data-driven approach refers to the process of collecting and storing context data from a wide range of context sources as sensors and Web services. This approach differs from existing context-aware applications, where context models and applications are closely related and ignore how the context is derived from sources and interpreted. In this paper, we propose a context data model based on...
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