摘要
在分析已有知识表示方法优缺点的基础上,提出一种高效的知识表达模型——概念知识树。概念知识树模型不仅结构性好、表达能力强,而且在应用中具有良好的适应性和延展性,现主要应用于信息检索和自然语言理解领域。以旅游领域为背景,用概念知识树作为表达模型建立相应的领域知识体系,并在此基础之上实现了一个旅游智能分析系统。该系统可在对用户需求(自然语言)进行一定程度语义理解的基础上,根据所建立的知识体系自动进行语义匹配,最终返回满足用户需要以及相关的旅游路线信息。
After analyzing the advantages and disadvantages of the traditional knowledge representation methods, this paper presented an effective knowledge representation model-concept-based knowledge tree. Compared with other methods, it has not only good structural performance and high representative ability, hut also good flexibility and extensity in practice. It widely used in information retrieval and natural language understanding. Built knowledge architecture on the knowledge tree model in tourism field, and further developed an intelligent retrieval system. The system performed semantic matching automatically according to the knowledge architecture, which was based on understanding the semantic meaning of the users＇ requirement （natural language） to some extent, and finally returned the appropriate and related information about tourism routes.
出处
《计算机应用研究》
CSCD
北大核心
2008年第11期3246-3248,3252,共4页
Application Research of Computers
基金
国家科技支撑计划资助项目(2006BAH02A01
2006BAK31B03)
关键词
知识表示
领域知识
概念
概念知识树
语义理解
knowledge representation
domain knowledge
concept
concept-based knowledge tree
semantic understanding
