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为解决传统关键词检索技术的不足,人民出版社采用最新的语义检索技术,建立面向政治理论文献的语义模型,开发知识点标引平台来提取和整理文献中的各个知识点,将复杂的理论文献知识化、条理化,在此基础上建立多种语义检索模型,实现检索结果的去粗取精、去伪存真。最终实现的人民金典语义检索系统,已经在“人民出版社”网站经过一年多时间的运行,证明其知识点检索的语义准确率和有效率均达到了70%以上,其中“人民金典语义查询”系统的准确率达到95%以上。
In order to solve the shortcomings of traditional keyword search technology, People’s Publishing House adopts the latest semantic retrieval technology, establishes the semantic model for political theory documents, develops the knowledge point indexing platform to extract and organize all the knowledge points in the literature, Literature knowledgeable, organized, on the basis of the establishment of a variety of semantic retrieval model to achieve the retrieval results to crude and refined, to pseudo-true. The final implementation of the People’s Dictionary of Semantic Retrieval System has been carried out for more than a year under the “People’s Publishing House” website, proving that the semantic accuracy and efficiency of its knowledge point retrieval have reached more than 70%, of which “people Golden Code Semantic Query ”system accuracy rate of 95% or more.