二叉树型知识获取与推理技术研究

Research on the knowledge acquisition and reasoning technique based on the binary tree structure

通过应用计算机可视化技术、二叉树表达技术、XML数据库技术和推理技术,开发了基于可视化技术的专家知识采集与知识推理系统。其推理机利用了无状态连续推理技术,提高了有害生物知识采集和系统推理的效率。系统具有简单易用的特点,植保专家可以方便地利用该系统构建有害生物调控知识库。

Through the application of computer visualization technology, the binary tree expression technology, XML database technology and reasoning technology, an expert knowledge acquisition and knowledge reasoning system based on the visualization technology was developed. Its inference engine with the non-continuous state reasoning technology can improve the collection of pest knowledge and the efficiency of the system reasoning. The system was easy to use, and the experts can set up the pest control knowledge database by using this system conveniently.