A Context Inconsistency Resolution Strategy In Semantic WEB Of Things

The inherent contradictions on Internet of Things are the diversification of the things' information in representation and the inability to agents' understanding of things' information.So Internet of Things cannot provide people with semantic services.Nevertheless,Semantic Web of Things is a coping strategy for inherent contradictions regarding Internet of Things and provides semantic services for people.It contains a significant factor:semantic collaboration.Concretely,the information of things should be represented as ontology-based semantic annotation and utilized as ontology-implemented semantic understanding.Context-awareness is a crucial part of Semantic Web of Things and the context inconsistency is the core problem of the context-awareness resulting from hampering users to require the right contexts and context reasoning.The context inconsistency resolution strategy in Semantic Web of Things is proposed in this paper.It systematically utilizes rough set theory,ontologies,Formal Concept Analysis and Evidence Theory.Ontology is used to annotate the context and context scheme in Semantic Web of Things.In addition,commonsense base is established.Accordingly,inconsistent contexts can be found easily resulting from the ontology.Furthermore,rough set theory is utilized to find the core attributes of the decision table from commonsense base.Finally,Formal Concept Analysis and Evidence Theory are utilized to find the best context from inconsistent contexts.In view of multitudes of relevant researches(Context Inconsistency Elimination Algorithm Based on Semantics,Context Inconsistency Elimination Algorithm Based on Constraints,Context Inconsistency Elimination Algorithm Based on Evidence Theory),To prove the feasibility and accuracy of the proposed strategy in this paper,multitudes of relevant experiments and assessment are carried out.Not only does the strategy proposed in this paper possess semantics,but also it can be applied in dynamic environment of Semantic Web of Things.