摘要
在搜索引擎中要精确地给出用户需要的答案是一个十分困难的任务。通过比较用户输入和文本之间的语境框架,把概念层次网络理论的语义分析模型应用到搜索引擎中。在概念层次网络理论的基础上,自然语言的词、句和句群可以映射为概念符号、句类和语境框架,通过比较用户输入与网页文本的概念符号和情景框架给出与用户输入语义上相同或相近的答案,这将大大提高下一代搜索引擎的智能性和灵活性。
It is a tough work to select accurate web pages for search engine. Applies a semantic parsing model into search engine by comparing the conceptual structures between user＇s input and text. The words, sentences and sentence groups can be mapped into conceptual symbols, semantic categories, and contextual elements based on the theory of Hierarchical Network of Concepts. The approach will improve the intelligence and flexibility of the search engine in future.
关键词
自然语言处理
语义分析模型
情景框架
HNC理论
搜索引擎
Natural Language Processing
Semantic Parsing Model
Conceptual Structures
HNC Theory
Search Engine
