Chinese translation for "representation of knowledge"
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- 知识表示法
Related Translations:
- Example Sentences:
| 1. | However , existing ontology languages are either unsuitable for web with markup languages , or short of of generic support to representation of knowledge , logical formula , axioms and rules
在现有的ontology语言中，有的不是面向web这种标记语言环境的，有的缺乏知识、逻辑公式、公理以及规则表示的通性支持。 | | 2. | Landauer , t . k . , and s . t . dumais . " a solution to plato ' s problem : the latent semantic analysis theory of the acquisition , induction , and representation of knowledge . " psychological review 104 ( 1997 )
蓝道尔与杜曼，柏拉图问题的解答：知识获得、归纳及表征的潜在语意分析理论， 《心理学回顾》第104期（ 1997年） 。 | | 3. | In this paper , we give a quantitative representation of the ability of knowledge ' s classification , and provide a novel representation of knowledge , that is , it can be expressed by expectation
本文对知识的分类能力给予了量化，提出了一种新的知识表示方法，称为数学期望表示法，我们利用数学期望来定量地表示知识的分类能力。 | | 4. | Following points are involved in building a subject knowledge base : firstly , the representation of knowledge ; secondly , the structure of knowledge base ; thirdly , the management of knowledge base ( including the retrieval of knowledge )
建立知识库涉及到如下几个方面的问题：一是，关于知识的表示。二是，关于知识库的构造。三是，关于知识库的管理(包括知识的获取) 。 | | 5. | The representation of knowledge and its reasoning mechanism shall not be the only things to be emphasized , because large knowledge base systems , which need the sharing and transferring of knowledge , should be developed according to the theory of modeling
知识库系统的研究不能只侧重于知识的表示及其推理机制。对于大型知识库系统，由于需要知识共享及知识转换，必须根据建模的思想来开发。 | | 6. | Latent semantic analysis ( lsa ) is a completely automatic theory and method of the acquisition and representation of knowledge , which extracts the contextual - usage meaning of words by statistical computations applied to a large corpus of text
潜在语义分析( latentsemanticanalysis , lsa )是一种用于自动地实现知识提取和表示的理论和方法,它通过对大量的文本集进行统计分析,从中提取出词语的上下文使用含义。 | | 7. | The main reasons are as follows : firstly , the knowledge in knowledge base is not able to meet the needs of the system , because on the one hand , it is impossible and unrealistic to make it all - inclusive , and on the other hand , the representation of knowledge also restricts the functions of the systems ; secondly , though many intelligent instructional systems have been developed , seldom knowledge bases were designed utilizing method of knowledge engineering , which certainly affected the management , retrieving and sharing of the knowledge , and thus the maintenance and expansion of the systems
主要原因有：一是，知识库中的知识不能满足系统的需要，因为要想使知识库的知识包罗万象，是不可能的，也是不现实的；同时，知识的表示也制约了系统的功能。二是，尽管开发了许多智能化教学系统，但很少用知识工程的方法设计知识库。这样势必影响知识的管理、获取和共享，从而影响系统的维护和扩充。 | | 8. | Chapter 2 : this chapter introduces the modal of the fuzzy oral carcinoma diagnosis and treatment expert system , the mechanism of the system based on message driving , the representation of knowledge , the method of reasoning under uncertainty , the control strategy , the mechanism of knowledge acquisition and the explanation mechanism summarily
第2章:总体介绍了模糊口腔癌症诊疗专家系统的结构模型、基于消息驱动的运作机制、知识表示方法、不确定性推理方法、控制策略、知识获取机制和解释机制。第3章:介绍知识获取的概念、任务和方式。 | | 9. | By the browser / web server / database structure and the technology of asp . net and xml , we achieve the expert system running on the network , extend the application and ensure its backward compatibility ; we have the deep research to the representation of knowledge and apply it to the system , extend the traditional method of rule based knowledge representation ; introduce the fuzzy sets , analyze the generalized possibility interval sets , and combine the linguistic variables and fuzzy sets ; the system adopts the forward and backward chaining , researches the reasoning under uncertainty and inexact reasoning ; and we depart knowledge base and inference engine , make the upgrade simple and maintenance convenient . in the last , we construct the potato produce manage system according to the phases of potato ' s growth to give a detailed instruct to its produc e
Net和xml技术，实现了网络化的专家系统，同时扩大了专家系统的应用范围，提高了系统的后向兼容性；对专家系统中的知识表示技术作了深入探讨，在传统的基于规则的知识表示方法的基础上，提出了基于规则扩展的知识表示方法，并较好地将其应用到本系统中；引入了模糊集合，分析并推导了广义可能区间集，将其应用于模糊知识的表示，将语言变量和模糊集合结合起来；提出对系统采用交互式知识获取途径、双向推理控制策略，对不精确推理和不确定性推理的传播算法作了一定的研究，成功地将其应用到马铃薯专家系统的构建之中；采用知识库和推理机相分离的方法，使得系统升级简单易行。 |
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