摘要： 知识获取一直是人工智能的瓶颈，如何有效地从文本中提取知识是知识工程所关注的问题。该文提出并构建了领域本体网络模型，将其用于中医领域文本的知识获取，分析了领域本体的数据结构、本体概念的实例化以及语义场的结构与组织方法。基于中文信息处理技术，提出了获取文本知识的框架，实现了原型系统，并用于中医医案知识的获取，取得了较好的效果。

关键词: 本体, 语义场, 分词, 知识获取

Abstract: The knowledge acquisition is a bottleneck of the artificial intelligence. How to extract knowledge effectively from the text is what knowledge engineering is concerned. This thesis has advanced network mode on the domain of ontology and applies this to get text knowledge in the herbalist doctor field. It discusses the domain ontology some attributes such as the describer of computer’s data structures, ontology concept’s instantiation and the organize method in semantic-field. On the basis of chinese information processing technology, it puts forward the framework about how to get text knowledge, and realizes prototype system. It applies this to get the knowledge about herbalist doctor case further, and gets a good effect.

Key words: Ontology, Semantic-field, Word segmentation, Acquisition knowledge

中图分类号: 

• TP18