• In this paper, ontology theory and knowledge modeling issues were briefly recalled.

    本文首先对本体理论和知识建模问题进行简要回顾。

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  • This paper lies in an important area of domain-ontology-oriented knowledge modeling method.

    本文的重要核心在于面向领域本体的知识建模方法。

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  • Mind map, topic map and concept map are the three most popular ways to carry out visualized knowledge modeling.

    心映图、主题图和概念图是当前比较流行的可视化知识建模方法。

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  • Developing such system includes domain knowledge modeling, formalization and storage of knowledge ontology, inference of diagnosing.

    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。

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  • Knowledge Modeling is the abstract model of the real world, effectively organizing knowledge is an important safeguard of knowledge using.

    知识建模是对现实世界中知识的抽象表示,对知识进行有效的组织是知识利用的重要保障。

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  • The knowledge modeling method and its effectiveness were exemplified in manufacturing knowledge of aircraft sheet metal forming process domain.

    通过在飞机钣金工艺领域制造知识建模中的应用说明了该方法的有效性。

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  • This paper focuses on knowledge modeling and knowledge management in product design, and proposes a paradigm for enterprise knowledge management.

    研究了产品设计过程中的知识建模与知识管理问题,提出了面向产品设计的企业知识管理模式。

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  • The study of knowledge modeling for plant community is relatively less, which pays more attention to the knowledge authenticity of botany and ecology.

    从知识的角度对植物群落进行建模的研究相对较少,植物群落的知识建模方法注重植物学和生态学知识的真实性。

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  • As a modeling tool which can describe the conceptual structure of information system at semantic and knowledge levels, ontology has very large advantage in knowledge modeling.

    本体作为一种能在语义和知识层次上描述信息系统的概念模型的建模工具,它在知识建模上具有非常大的优势。

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  • This paper compares several constructing method of knowledge model, sets up the necessity and possibility of introducing Ontology into knowledge modeling area after analyzing the current problems.

    本文比较了目前比较成形的几种知识模型构建方法,分析了在知识建模领域存在的问题,提出引入本体方法的必要性和可行性。

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  • Information reduction method is given, in which includes RS knowledge modeling, RS decision logic expression, distinction matrix making, cores calculation, attributes reduction, rules generation, etc.

    给出了数据约简方法,包括建立RS知识模型、RS决策逻辑表示、确定辨识矩阵、计算其核心、进行属性归约、规则形成等内容。

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  • Checking the data quality is not a trivial job; it requires knowledge of both data modeling and the business domain.

    检查数据质量并非是一项普通工作;它同时需要数据建模和商业领域的知识。

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  • The best fit for this job is an experienced business analyst with strong business and people skills, as well as reasonable knowledge of data warehousing and data modeling.

    最适合于该工作的是一位有经验的分析员,应具有较强的业务和人员技能以及关于数据仓库和数据建模的合理知识。

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  • This article focuses on business modeling, and you only need conceptual product knowledge.

    本文将重点讨论业务建模,您仅仅需要概念产品知识即可。

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  • In my last installment of this column, I discussed how XML knowledge management systems such as RDF shed a different light on age-old problems of data design and modeling.

    在本专栏的上一篇文章中,我讨论了诸如rdf这样的XML知识管理系统是如何另辟蹊径解决数据设计与建模这些老问题的。

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  • Commercial data modeling products are valuable because of their content-specific knowledge, which is based on practical experience and business expertise.

    商业数据建模产品因为其特定于内容的知识而弥足珍贵,这是基于实践经验和业务专长的。

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  • For example, modeling for business requirements, modeling for business optimization, and modeling for execution will require different sets of knowledge and skills, and perhaps additional tools.

    例如,业务需求的建模、业务优化的建模和执行的建模将需要不同的知识和技能,或许还需要其他工具。

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  • It is used for modeling to capture complex knowledge about organizations and related technology.

    它用于建模以获取关于公司及相关技术的复杂知识。

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  • Besides common modeling rules and a scalable notation, the approach must be based on a central taxonomy and knowledge of modular architecture.

    除了普通的建模规则与可评价的概念,方法必须基于中央的分类以及模型架构的知识。

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  • Identification of common services is still significantly dependent on domain knowledge and modeling skill.

    标识通用服务仍严重依赖于领域知识和建模技能。

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  • The disadvantage of the traditional formal languages is that they are used by people who possess a solid mathematical knowledge, but they are difficult to use for a modeling system.

    传统规范语言的劣势在于,它们是由拥有稳固数学知识的人员使用的,使用它来建模系统很困难。

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  • This tutorial requires no prior knowledge of modeling deployment topologies.

    本教程不需要您对建模部署拓扑有多深的了解。

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  • Modeling our Web service on RosettaNet specifications allows us to benefit from this valuable expertise and knowledge.

    根据RosettaNet规范对Web服务进行建模,使我们能够从这类有价值的专门技术和知识中获益。

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  • This article does not really cover the modeling process and knowledge detail in DB2 Cube Views.

    本文并没有真正涵盖DB 2CubeViews中的建模过程和知识细节。

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  • Other plans address guidance modeling challenges such as knowledge visualization and maintenance.15.

    其他解决指导模型所面临的挑战的计划,比如知识可视化和维护性15。

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  • The Relationship Modeling Engine works together with an adaptive knowledge base — a set of collected data used to analyze and categorize texts.

    RelationshipModelingEngine使用一个适应性的知识库——一组收集的数据,用于对文本进行分析和分类。

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  • Using Concept Modeling techniques, ICM RME has the unique capability of serving multiple applications from a single knowledge base.

    通过使用概念建模(Concept Modeling)技术,ICMRME提供了用单一知识库为多个应用程序服务的独特功能。

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  • When text is sent to the Relationship Modeling Engine for matching, the knowledge base data is used to select the category that is most likely to match the text.

    在将文本发送给RelationshipModelingEngine进行匹配时,使用知识库数据选择最可能与此文本匹配的目录。

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  • Mathematical modeling is to solve practical problem with mathematical knowledge.

    数学建模就是应用数学知识解决实际问题。

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  • Mathematical modeling is to solve practical problem with mathematical knowledge.

    数学建模就是应用数学知识解决实际问题。

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