Key web search algorithm based on service ontology

Abstract

Topic page refers to a kind of manifold we-media publishing platform, in order to realize rapid and high-precision public opinion information monitoring, this paper proposes a message passing topic page evaluation method under the perspective of topic culture creativity in topic page. Firstly, it conducts research on the network topic page model in the topic page to know its service ontology and definitions of AM and MM, establishes the topic database in topic page by the means of network exploration and takes it as the research object; secondly, it relies on the message passing framework to design the distributed page evaluation algorithm of the topic page evaluation factor model to realize the completely distributed parallel management between different nodes in the network and enhance the capability of the algorithm in processing large scale of topic page evaluation; finally, it conducts experiment comparison on the standard test net and topic database of network exploration topic page and gets the conclusion that the algorithm has better evaluation result.