Analysis on context-information retrieval oriented to application-layer of internet of things

Expanding data scale and continuous information changes are important problems that arise in application-layer of Internet of things. In this paper, we present a dynamic context-information retrieval model for solving such problems. A new model has been constructed by organizing key data located on Internet of things from the point of view of object-oriented technique. Context-aware semantic retrieval algorithm and ranking method are put forward to achieve and rank the search results. Combined with real example, the practical performance of model is analyzed. Experimental results demonstrate the meaningfulness and the efficiency of the proposed model.