本体是由知识中的概念、概念间的关系以及计算机可以识别的形式化描述语言组成的实体。
An ontology is the entity which composes of the concept of knowledge, the relationship between the concepts and formal description language can be identified by computers.
系统开发工作包括领域知识本体建模、知识本体的形式化与存储、诊断推理等。
Developing such system includes domain knowledge modeling, formalization and storage of knowledge ontology, inference of diagnosing.
本体作为领域知识的规范化形式语言，已成为领域知识管理的强有力工具。
As a formal language in the domain knowledge, ontology has been a vigorous tool for the domain knowledge management.
框架的知识组织方式也有利于工作流的推理，而且框架是本体形式化的表示方法之一，因此框架是基于系统层知识的工作流建模的理想方法。
The knowledge organization of framework helps workflow illation, framework also being one of the ontology formalization approaches and the ideal modeling method based on system layer knowledge.
本文在研究owl本体进行知识表示的机制后，阐述形式化表示及语义说明方法，并结合实例说明知识的表示。
Firstly the method of knowledge representation by owl ontologies is researched, then the formal and semantic description is introduced, and finally knowledge is represented by an instance.
最后构建计算机网络课程知识本体的实例，并用owl语言形式化的将它表现出来。
Lastly, an instance of the ontology of the course of Computer Network is constructed and represented in OWL language.
结果证明，这种本体建模方法和形式化表达机制，能够较好表达应急领域的知识结构，是可行的。
It proved that the method of ontology modeling and formal representation mechanism can better express the knowledge structure of emergency field. It is available.
本体知识推理的关键任务是分析语义关系、定义和形式化推理规则并对其优化。
The key task of ontology reasoning is to analyze semantic relationships and to define, formalize and optimize reasoning rules.
而定义2则认为有知识库支持的本体在语义层根据适当形式的结构予以表示。
Under interpretation 2, instead, the ontology, that underlies a knowledge base, is expressed in terms of suitable formal structures at the semantic level.
而定义2则认为有知识库支持的本体在语义层根据适当形式的结构予以表示。
Under interpretation 2, instead, the ontology, that underlies a knowledge base, is expressed in terms of suitable formal structures at the semantic level.
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