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Sensor networks have been developed with an exponential speed in the last few decades. Sensor nodes are deployed to collect information for environmental monitoring, traffic control, civil information construction and other context awareness systems. The existing problems for sensor networks are sensor management and data sharing between sensors. Different ontology development methodologies and frameworks...
Currently, the calculation of similarity in ontology mapping is unilateral and complicated, because of this, it has resulted in many issues such as the calculation of similarity are not reliable. In this study, we had got a new similarity algorithm for the concepts from different ontologies: we not only considered the influence of name, instance, attribute, and structure of the concepts in designing...
The current Semantic Web ontology language has been designed to be both expressive for specifying complex concepts and decidable for automated reasoning. In recent years, the Semantic Web Rules Language has been proposed to add more expressiveness to the family of ontology languages. However the inclusion of rules has created new challenges of not only verifying the consistency of an ontology, but...
Aiming at the problem of the "semantic gap" and the "dimensionality curse", this paper discussed the model of cross-media retrieval. The methods of feature extraction and fusion of multimedia were given for processing high-dimensional data, and a nonlinear hybrid classifier based on support vector hidden Markov models was design for implementation semantic mapping and learning...
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