【摘要】 针对目前搜索引擎难以按用户个性需求给出精确答案的现状,把概念层次网络理论的语义分析技术应用到搜索引擎中,在概念层次网络理论的基础上将自然语言的词、句和句群映射为概念符号、句类和概念框架,通过比较用户输入与网页文本的概念符号和概念框架,给出与用户输入语义上相同或相近的搜索结果,可以使搜索结果更加准确、更加符合用户意图,这有助于推动和促进下一代搜索引擎的个性化和智能化研究。更多还原

【Abstract】 To overcome the difficulty for search engine in selecting accurate web pages according to user’s personalized need,this paper applied the semantic parsing technology of the theory of Hierarchical Network of Concepts to search engine.Thus,the words,sentences and sentence groups in natural language were mapped into conceptual symbols,sentence categories,and concept frame.By comparing the conceptual symbols and concept frame of user’s input and web pages text,the search result of search engine was more accurate and closer in semantics to user’s intention.The approach will improve the intelligence and personalization of the next generation search engine in future.更多还原