A Method of Meta-Context Ontology Modeling and Uncertainty Reasoning in SWoT
作者： Lu Zhong-Jun , Li Guan-Yu , Pan Ying
关键词:
摘要: To model contexts and provide inference mechanism in Semantic Web of Things (SWoT), a generic extensible meta-context ontology (MCOnt) is proposed to the common semantics all dimensions an information space. It can not only high-level meta-contexts which are used capture basic context concepts, but also domain-specific hierarchical manner. Meanwhile, adapt dynamic uncertain SWoT, combined algorithm with Dynamic Bayesian Networks (DBNConU) proposed.
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