Research And Design Of The Intelligent Post-Controlled Vocabulary System

The network covers a wide range of resources, updated quickly, and rich in content, Web search engine becomes the primary means of Internet users to access information, However, despite the search engine technology improving constantly, but the search results still can not meet the real needs of users. Recently, a number of experts suggest Post-Controlled Vocabulary, by controlling the retrieval of the retrieval of user input, to improve Web search engine's search quality.This paper analysis the status of the network resources and search engines at first, explores the advantage and disadvantage between the natural language and information retrieval language , the basic theory of the Post-Controlled Vocabulary, and the theory of the post-controlled vocabulary as a word embedded table, combining with Multi-Agent technology. According to these theories, the combination of Web search engine features of the more mature development, an embedded part of the intelligent Post-Controlled Vocabulary, designed the data structures and modules in details. Introduced seven basic foundation modules it contains : brows the vocabulary , word's syncopate, building Google search queries, getting web words, vocabulary management, word-frequency statistics and recommendation new words .Finally, pointed out that Post- Controlled Vocabulary still exist inadequate in some parts.