应用本体

已有映射方法都是针对具体的应用本体的，因此这些方法都不能适应环境的变化。

Existed ontology mapping method is used in concrete application ontology and can not adapt environment change .

此外，该文同时应用本体的求解过程对模型的评价和维护作了尝试。

Meanwhile , the process of acquiring application ontology is a try to evaluate and maintain the models .

提出应用本体（Ontology）建模方法来解决汽车业供应链上异构信息系统信息共享问题；

Ontology is put forward to solve the problem of information sharing among the heterogeneous information systems .

基于应用本体的个性化E-learning系统研究与应用

Research and Application of Individual Learning System Based on Applied Ontology

此操作返回可以应用本体规则的reasoner。

This operation returns a reasoner ready to apply the ontology 's rules .

本文应用本体的概念来描述DICOM医学图像，提出了医学图像本体的框架，对DICOM信息模型进行了扩展。

This article uses the conception of Ontology to describe DICOM Medical Image , and put forward the OntologyFrame of DICOM Medical Image , and extend the information model of DICOM .

首先，以油酸为功能单体，二乙烯基苯为交联剂，分别应用本体乳液聚合法和反相微乳液聚合法制备了Fe（Ш）印迹聚合物。

The corresponding molecular imprinting polymers ( MIPs ) represent fine adsorptive performance . Fe (Ш) - imprinting polymer ( Fe (Ш) - MIPs ) were synthesized using oleic acid as functional monomer and divinylbenzene as cross-linker by the emulsion polymerization approach and inverse micro-emulsion polymerization approach respectively at first .

应用本体语言OWL抽象描述了元模型的语义信息，保障了元模型内部概念的一致性。

The consistency of concepts in the meta-model is ensured by using web ontology language OWL to describe semantic information of it . Secondly , using the given meta-model , the creation methods of domain models and evaluation implementation process are discussed .

文章通过分析本体论在数据库建模中的作用，探讨了应用本体论辅助E-R建模设计的基本方法，并由此提出了一种面向应用领域数据库设计的本体论的获取途径。

Through analyzing the action of ontology in database model design , this paper inquires into the basic method that ontology is used in database E-R model design and proposes an ontology getting path for database design .

应用本体的主要目的是为了知识共享和复用。

The main purpose of applying ontology is knowledge sharing and reusing .

基于应用本体的多卫星遥感数据检索

Multi-satellites Remote Sensing Data Retrieval Based on Application Ontology

再次，本文通过引入动态服务组合机制，结合服务应用本体库，实现服务组合和资源动态绑定。

Thirdly we also propose a mechanism to implement dynamic services composition and resource bindings .

在基于对等网的网格环境中，应用本体来描述资源元数据已经成为当今研究的趋势。

In peer-to-peer based grid environment , applying ontology to describe resource has become current research trend .

从概念本体、方法本体和应用本体三个方面进行系统分类和研究。

The specific aspects are classified into 3 parts : conception-ontology , method and application of ontology . 2 .

在信息系统和信息建模领域应用本体，使得领域术语实现标准化，提供对该领域知识的一致理解，可以为机器可直接理解和处理语义提供理论和技术基础。

In information system and information modelling domain , ontology makes the domain terminology standardization and domain knowledge consistently understood .

最后指出可通过建立知识库、有效利用即时通讯软件和建立应用本体等促进上述方法的实现。

At last , three advices are proposed : building knowledge base , using instant messenger software and building application ontology .

该映射框架由应用本体、参考层、共享领域词汇表、局部本体和映射模块五部分组成。

The framework has five components : application ontology , reference layer , shared domain vocabulary , local ontology and mapping model .

然后，应用本体模型，设计事件名词本体，从名词、动词两方面属性实现语义理解中。

Then , according to the ontology model , the ontology of event-noun is designed from the semantic properties of nouns and verbs .

介绍了本体理论几个典型的概念、本体理论研究的方法，着重论述了应用本体理论构建高校重点学科领域本体的方法。

This paper introduces several typical concept and research methods of ontology , and emphasizes the method constructing university priority discipline with ontology .

然后应用本体论方法建立了产品平台本体论模型，并通过个人计算机的案例证明了该模型的有效性。

Additionally , an ontology of product platform is built , and the validity of the two models is proved by a case of personal computer .

已有的本体匹配算法大多数都没有应用本体的推理能力对本体中包含的关系进行深入的挖掘，这主要是因为在应用推力能力的过程中，很容易使算法陷入循环。

Otherwise , current ontology similarity algorithm does not apply the induction ability of ontology because the application of the induction may lead algorithm to infinite circle .

提出了应用本体论构建了一个开放的、可扩充的数据挖掘知识管理系统架构，并对架构的各个组件及系统的工作流程进行了阐述。

It presents an exoteric and extensible architecture for DM knowledge management and gives a description of the workflow of each component and the system . 3 .

然后，应用本体技术，阐述了系统的总体架构，并对知识获取、知识检索等核心子系统进行了详细设计。

Secondly , the overall system architecture is discussed under ontology technology , and such core subsystems as knowledge acquisition and retrieval are carefully designed in detail .

本文最主要的创新点就是提出了应用本体论来构建数据挖掘知识管理系统，并构建了实验系统。

The significance of this research is that it puts forward the application of Ontology in the construction of Data Mining knowledge management system and constructs the experimental system .

分别针对于概念本体、方法本体和应用本体三本体知识研究其教学方法，找出教学支撑需求，进而关注信息技术能提供的支持。

Study the appropriate instruction methods on 3 aspects respectively , and then find out the teaching needs ; moreover , focus on the support that the information technology provides . 3 .

该体系包括概念本体、知识本体、教学策略本体、学生模型本体、教学任务本体和教学应用本体。

It includes concept ontology , domain knowledge ontology , pedagogical ontology , student model ontology , teach task ontology and teach application ontology , which provide semantic for knowledge sharing and adaptive application .

教学者可以使用应用本体自由地设计所需要的教学知识结构，并自由地选择需要的学习资源与本体进行关联来完成学习内容的准备。

By means of applied ontology , teachers , when preparing learning materials for learners , can optionally design required knowledge structure , choose needed learning resources and associate the chosen resources with the ontology .

通过顶层本体、领域本体和应用本体三种不同抽象层次的本体构建来指导面向重用的服务化企业应用需求分析与建模并保证需求的一致性。

Three types of different abstract level ontology : upper ontology , domain ontology and application ontology are developed to guide requirement analysis and modeling in reuse-oriented enterprise application development , and ensure the consistency of requirements .

在标准（学生）答案句框架提取模块中，输入一个句框架中的每个元素，然后应用本体推理，对其进行语义扩展，之后检索出与之相关的词，与学生答案中关键词比较。

In the sentence framework extraction of the standard ( students ) answer module , when enter a search terms , and then apply the ontology reasoning , then extent its semantic , and retrieve the associated words , then compare the keywords of student answers .

实验表明，在Web使用领域内，该方法学习生成的应用日志本体在准确率和召回率上都明显优于目前主流本体学习工具生成的结果。

The experimental results show that both the precision and the recall of our method are better than the main ontology learning tools in Web usage domain .