Research of vertical search engine index module for college entrance examination Forum

摘要

The vertical search engine index classification method based on ontology, through the introduction of text classification in PubMed forum based on ontology semantic information is added into index, can effectively improve the vertical search engine retrieval recall and precision, improve the relevance of search results ranking results. Firstly, the design of a classification system based on domain ontology, achieve fine-grained multi class text classification; and then design a new classification index structure, the categories of information and information and the formation of effective combination of keywords, classification index; finally the generating algorithm of classification index design, and puts forward the classification index compression, optimization method.