Use tools made for designing ontologies
使用专门的本体论设计工具。
Evaluate your data in the context of existing ontologies.
在现有本体上下文中评估数据。
With these languages, you build ontologies or domain models.
通过这些语言可以建立本体或者域模型。
Examples include descriptions in data dictionaries, annotations, or ontologies.
例子包括用数据字典、注释或本体论(ontology)来描述。
Lastly, Dan McCreary discussed some of the things to watch out for in defining enterprise ontologies.
最后DanMcCreary讨论了定义企业本体论的时候需要注意的一些事项。
Once adoption of ontologies has begun in an organization, McCreary's list of ten pitfalls should be heeded.
当组织开始采纳本体论之后，就应该开始留心McCreary列出的十大陷阱了。
Part 5 takes the ontologies you created in Part 4 and used them to enable users to change out information sources.
第5部分利用第4部分创建的本体使用户能够改变信息源。
Use popular ontologies like FOAF whenever possible because common structures and vocabulary will facilitate data integration.
只要可能应尽量使用FOAF这类通用本体，公共的结构和词汇表有助于数据的集成。
Ontology to Ontology mediators (OO-Mediators) connect ontologies and resolve terminological and representational mismatches;
本体到本体的仲裁者（OO-Mediators）将本体联结起来并解决术语上和表示上的不匹配；
In addition, many ontologies are domain specific in fields such as technology, environmental science, chemistry and linguistics.
此外，很多本体都是特定于诸如技术、环境科学、化学和语言学之类的领域。
I believe we will see increasing use of UML as industries and consumers begin to develop their ontologies and services using XML.
我相信，随着业界和消费者开始使用XML开发他们自己的实体和服务，我们将会看到UML的使用不断普及。
Once an organization gets started on defining and maintaining their ontologies, it needs to be managed and run across the enterprise.
当组织开始走上定义自己的本体论的正轨，需要对本体论进行管理并在整个企业中推行。
On the Semantic Web this problem is solved by ontologies, and the W3C standard for expressing ontologies is the Web Ontology Language (OWL).
在语义Web 中，这个问题由本体（ontology）解决的，并且用于表达本体的W3C标准就是 Web本体语言 (OWL)。
Define WebSphere business Services Fabric extensions (ontologies) based on the requirements, business process model, and industry model (if any).
根据需要、业务流程模型和行业模型(如果存在)定义WebSphereBusinessServicesFabric扩展(ontologies)。
This tutorial assumes that you are familiar with the concepts of XML, Resource Description Framework (RDF), ontologies, and the Web Ontology Language (OWL).
本教程假设读者熟悉XML的概念、资源描述框架(RDF)、本体和Web本体语言(owl)。
McCreary also stressed the importance of having individuals or teams within the organization that own the ontologies and are responsible for semantic precision.
McCreary还强调应该让组织中的某个团队或个人“拥有”某个本体论，让他们为语义的精确性负责。
A lot of your data is likely to fit into at least one of the areas covered by the ontologies in Table 1, in which case you can incorporate them in your planning.
很多数据可能适合表1中本体所涵盖的至少一个领域，这种情况下，您可以将它们都合并到您的规划当中。
This tutorial is for readers who want to better understand the development of ontologies, or classifications of concepts, and how they relate to the semantic Web.
本教程是针对那些希望更好地了解本体开发(或者概念分类)及其与语义web的关系的读者而编写的。
Semantic Web services (SWS) can be considered an integration layer on top of Web services; they use ontologies as data model and they have a rich conceptual model.
语义Web服务(SWS)可看作是Web服务之上的集成层；它们使用本体作为数据模型并且拥有丰富的概念模型。
Semantic technologies represent meaning using ontologies and provide reasoning through the relationships, rules, logic, and conditions represented in those ontologies.
语义技术用存在论(ontology)表示意义，并通过这些存在论中表示的关系、规则、逻辑和条件来提供推理。
This joint white paper explains and positions standards for SOA reference models, ontologies, reference architectures, maturity models, modeling languages, and governance.
这一联合白皮书对于SOA参考模型、本体、参考架构、成熟度模型、建模语言以及治理相关的等等标准都进行了解释，并将它们置于了整个拼图中合理的位置。
Once you have some sources of data in RDF, and you have ontologies to let you determine the relationships between them, you need a way to get useful information out of them.
一旦您拥有了采用RDF的一些数据源，并且拥有可以确定它们之间关系的本体，那么您需要一种从中获得有用信息的方法。
As tool support has become more available and the concepts of semantics and ontologies are being understood, there are more players that have come to the table with contributions.
现在已经出现了相应的工具支持，语义及本体论的概念也得到了更充分的理解。越来越多的参与者在这个领域做出他们的贡献。
The article also looked at how you can take advantage of existing ontologies to define what your data is and use a semantic URI scheme to enable your Web site to also be your API.
本文还介绍了如何利用现有的本体定义数据以及使用语义uri方案使您的Web站点成为您的API。
Extend Ontology: it Architects use Fabric Model extension Tools to define and publish WebSphere business Services Fabric extensions (ontologies) based on business service requirements.
扩展本体：IT架构师可以使用Fabric模型扩展工具基于业务服务需求定义和发布WebSphereBusinessServices Fabric扩展(本体)。
By extending ontologies to describe services in a SOA, a machine can reason about the functionality they provide, the mechanism to invoke them, and the data they expect as input and return as output.
通过拓展本体以描述SOA当中的服务，机器可以推断它们提供的功能，调用它们的机制，以及它们所期望的输入和输出数据。
Enterprise Vocabulary Net (EVN) by TopQuadrant: Explore a web-based solution for simplified development and management of interconnected controlled vocabularies, taxonomies, thesauri, and ontologies.
EnterpriseVocabularyNet（EVN）TopQuadrant：查看基于web 的解决方案，该解决方案用于简化对互相关联的受控词汇表、分类法、同义词表库、以及本体的开发与管理。
Ontologies enhance service discovery, modeling, assembly, mediation, and semantic interoperability.
存在论增强了服务发现、建模、汇集、协调和语义互操作性。
A standard means to describe relationships between data items: Ontologies that use the OWL Web Ontology Language
一种用来描述数据项之间关系的标准方法：使用OWLWebOntology Language 的Ontology 技术
Ontologies and Ontological management have become more popular as enterprise architecture has gained ground among organizations.
随着企业架构在各种组织中扎根，各种本体论和相关的管理正日渐盛行。
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