本体映射是本体集成的一个关键环节。
Ontology mapping is the key step of the ontology integration.
其中的本体映射技术对于SNAX中的本体推理查询、本体集成等都是至关重要的一部分，本文将着重对此进行研究。
Ontology mapping is a crucial part of SNAX for ontology query and integration. The thesis focuses on research on these issues.
这样就可以把公开定义的主题整合进自己的方案中，或者把组织维护的正式本体与特定于自己内容的概念集成进来。
This allows you to incorporate publicly-defined subjects into your schemes, or to integrate a formal ontology maintained by your organization with concepts that are specific to your content.
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。
Use popular ontologies like FOAF whenever possible because common structures and vocabulary will facilitate data integration.
您可以使用此流程来测试使用本体和全文查询的集成插件，例如。
You can use this process to test the integration plug-in using both ontology and full-text queries, for example.
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 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.
结合本体技术解决分布式异构数据集成中的语义异构问题。
Resolved the semantic heterogeneous problem in the distribution heterogeneous data integration, combining with ontology technology.
本教程使用了第3和第4部分中建立的本体，把它集成到了第1部分创建的mashup应用程序中，以便让用户选择使用何种服务。
It takes the ontology you built in Parts 3 and 4 and integrates it into the mashup you built in Part 1, in order to give the user a choice of services for use in the application.
另外，如果我们需要构建大的本体，我们能够集成多个已经存在的描述大领域的部分的本体。
Additionally, if we need to build a large ontology, we can integrate several existing ontologies describing portions of the large domain.
本体可以应用于知识管理、系统分析、异构信息集成等领域。
Ontology can be used in knowledge management, system analysis, and heterogeneous information integration.
本体技术解决了信息集成中的语义异构性问题，从而实现了信息系统间的语义互操作。
Ontology technique resolves the problems of semantic heterogeneity in information integration which realizes the semantic interoperability between information systems.
在信息集成过程中，本体解决了异构信息的语义异构问题，实现了信息语义上的互操作。
In the process of information integration, ontology solved the semantic heterogeneity problem of heterogeneous and autonomous data.
本文的内容主要包括：(1)基于本体的异构数据集成技术研究。
Mostly including: (1) Technology research of heterogeneous data integration based on ontology.
全局本体作为局部本体的统一视图，描述中间件在特定领域范围内可集成的所有数据。
Global ontology is as a unified view of local ontology, describing all datum in specific domain that can be integrated in middleware.
为了实现地理本体之间的语义集成，提出了基于范畴论的方法。
To realize the semantic integration between geo-ontology, a category theory method is proposed in which the geo-ontology is viewed as abstracted objects of category.
本论文基本体现了集成电路设计的完整流程。
研究了基于本体代数的知识模型集成和基于本体推理、查询的知识模型处理。
The integration of knowledge model is based on ontology algebra and the process of knowledge model is based on ontology inference and query.
为了有效地对异构专利数据源进行统一的查询，提出一个基于本体的异构专利数据源集成系统。
In order to carry out unified query on heterogeneous patent data source effectively, an ontology-based heterogeneous patent data source integration system was proposed.
针对目前基于本体的XML数据集成系统中，仅仅通过映射到全局模式来进行冲突消解的不足，该文提出了一种可扩展的映射规则模型。
This paper proposes an extensible mapping rule model to make up for the deficiency of conflict resolution only by mapping to global ontology in ontology-based XML data integration systems.
讨论了本体构造的原则和方法，介绍了外汇监管集成本体的设计和实现。
The rules and methods of ontology construction were discussed and the design and implementation of the foreign exchange supervision integration ontology were introduced.
本文提出了一种基于本体环境迁移(oci)的分布式数据集成方法。
This paper proposes an approach based on ontology context immigration (OCI), which can reduce the implementation complexity in contrast to traditional integration methods.
本体可以应用于知识管理、系统分析、异构信息集成等领域。
Ontology can be used in knowledge management, system analysis, and heterogeneous information integration. As an illustrati…
由于同一领域的不同信息源的本体创建者采用的语义不同，将它们集成涉及许多复杂因素。
There are many complex factors in integrating them, because different ontology creators adopt different semantics from his individual view.
基于本体的语义信息集成主要解决分布异构的数据源之间的模式级异构和部分数据异构（包括同义字和同音异义字）。
Ontology-based semantic information integration resolves the schema level heterogeneity and part of data level heterogeneity between distributed data sources.
基于本体的异构数据库的语义集成，首先就是要对本体进行构建。本体构建质量的高低直接影响了进一步的应用和研究效果。
The first step of Ontology-based semantic integration of heterogeneous database is to build ontology. The quality of ontology has a direct impact on further application and research.
本体能够明确表示一定领域的概念和概念之间的关系，利用这一特点，基于本体的数据集成能够解决这个问题。
Ontology can specify terms and relations among them. Therefore, an ontology-based data integration might be used to solve the semantic heterogeneity problem.
本论文对基于本体的异构数据集成中的本体构建、本体映射和查询处理技术进行了研究和总结。
The critical technologies of the method, including ontology construction, ontology mapping and query process are researched in the thesis.
本论文对基于本体的异构数据集成中的本体构建、本体映射和查询处理技术进行了研究和总结。
The critical technologies of the method, including ontology construction, ontology mapping and query process are researched in the thesis.
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