Research on Intelligent Search Engine Based on Semantic Comprehension
基于语义理解的智能搜索引擎研究

This article proposes a search engine model which is based on the natural language understanding. It includes a method to analyze users' quest ions in natural language from three layers, that is, keyword, quest ion type and question focus. The analysis consists of semantic analysis, feature extraction and semantic matching. And with this thought the feature base that faces to Web page content is built. In addition, this article proposes an algorithm of returning to the documents arrangement, it investigates...