Text inference is central to natural language applications. This paper presents an inference method based on HowNet, which organizes knowledge with semantic net and infers with marker passing.
文本推理在自然语言处理的应用中占有极为重要的位置，本文介绍了基于知网的一种推理方法，该方法以语义网络的形式表示知网中的知识，利用“标记传递”实现推理。
Aiming at knowledge representation problem of expert system for rotary machinery fault diagnosis, semantic net knowledge representation is discussed.
针对旋转机械故障诊断专家系统中的知识表示问题，讨论了语义网络的知识表示方法。
To solve this problem, this paper presents an agent-based intelligent tutoring system by applying the semantic-net principle.
针对以上缺点，本文给出一个应用语义网络原理构筑起来的智能答疑系统。
To solve this problem, this paper presents an agent-based intelligent tutoring system by applying the semantic-net principle.
针对以上缺点，本文给出一个应用语义网络原理构筑起来的智能答疑系统。
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