本体映射的关键是相似度的计算。
The key of ontology mapping is the computation of similarities.
本体映射的关键是相似度的计算。
And the key of ontology mapping is the computation of similarity.
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.
本体映射是解决本体异构的通用方法。
The general solution of ontology heterogeneity is ontology mapping.
实验表明，该方法有效地提高了异构本体映射的精度。
Experimental results show that this method can improve the precision of heterogeneous ontology mapping effectively.
因此，本体映射成为了基于语义技术中的一个关键问题。
Hence, ontology mapping become one of the pivotal problem in Semantic technology.
局部本体是对特定数据源的本体描述，是进行本体映射的基础。
Local ontology is the ontology description of specific data source, is the basis of ontology mapping.
本体映射是在使用不同本体的代理或服务之间实现互操作的核心工作。
Ontology mapping is the core task in the interoperation among agents or services using different ontologies.
在本文的最后，通过两个实验对本文提出的本体映射算法进行了验证。
Finally in this paper, ontology mapping algorithm presented in this paper has been verified by two experiments.
这两种本体映射的信息分别为域内本体映射信息和域间本体映射信息。
Ontology mapping information is also divided into inner Ontology mapping information and domain Ontology mapping information.
在本体映射的研究中，本体分块映射是完成大本体映射任务的主要方法。
In the research of ontology mapping, ontology block mapping is the most popular of large-scale ontology mapping task.
本体映射是解决本体异构，在不同本体间建立语义关联的一种有效的方法。
Ontology mapping is an effective method of solving the heterogeneity of ontology and setting up semantic relevance.
虽然本体之间的一些特征完全不同，但是本体映射的方法却存在着共同点。
Even being in some features completely different, approaches to ontology mapping share some common characteristics.
④本体映射。研究了全局本体与局部本体映射，局部本体与数据源本体映射。
Study the mappings between global ontologies and local ontologies and mappings between local ontologies and data resources.
对本体映射技术进行了探讨，提出了一种基于语义度量的多重循环的映射方法。
The thesis explores ontology mapping technologies, and proposes a mapping approach of repeated circulation based on semantic measurement.
摘要：本体是概念、属性和关系的集合。本体映射是解决本体异构的最好方法。
Absrtact: ontology is usually viewed as the sets of concepts, attributes and relations, ontology mapping is the best way to. Solve ontology heterogeneity.
其次，讨论了本体映射的典型体系框架和各种本体映射方法，并对其进行了归纳总结。
Second, the architectures of ontology integration and all kinds of mapping methods are introduced.
针对目前本体映射过程中相似度计算存在的问题，提出了一种综合的相似度计算方法。
Aimmed at the current problems, this paper put forward a compositive approach of similarity computation.
无论在本体映射或本体进化中，基于属性的概念相似度计算都是本体论研究的关键内容。
No matter during the ontology mapping or the ontology evolution, the attribute-based concepts similarity computation is the key point of the ontology research.
本文针对目前本体映射中概念相似度计算所存在的问题，提出了一种综合的相似度计算方法。
To aim at the current problems of the computation of concept similarity, this paper puts forward a compositive approach.
针对当前大规模本体映射分块结果不精确的问题，提出一种改进的大规模本体分块与映射方法。
Due to the shortcomings in current large scale ontology mapping, this paper proposes an improved method of large scale ontology partition and mapping.
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.
本文通过本体映射来研究MDA模型转换，提出实现MDA模型语义层转换的方法，并提高模型转换的效率和准确率。
The method to realizes the MDA model semantics level transformation can be proposed through ontology mapping. Efficiency and accuracy of model transformation can be improved by this mean.
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.
本体映射算法是以两个本体作为输入，然后为这两个本体中的各个元素(概念、属性或者关系)建立相应的语义关系。
Ontology Mapping algorithm is basing on two Ontology as import, then building corresponding semantic relationship for each element (concept, attribute or relationship) of the two Ontology.
最后在以上工作的基础上，通过输入两个本体实例来对整个相似度计算过程进行详细说明，验证了基于OWL本体映射的概念相似度计算方法。
Considering all above, we import two ontologies to explaining the process of calculating the whole similarity and verified the method of calculating concept similarity based OWL ontology mapping.
本文提出一种基于树分割的本体映射算法，首先根据本体的结构将本体树分割成不同粒度的子树集，然后在各子树之间运用子树映射算法进行映射。
It first divides the ontology into a set of sub-trees with different granularities according to the structure of the ontology, then USES sub-tree mapping algorithm to map them.
然后，分析一个开放源码的本体管理系统——KAON，并对其体系结构、存储机制和具体实现进行了分析，并在此基础上开发了我们自己的本体映射模块。
Third, the open source ontology management project, KAON, was analyzed, and on the basis of this system, we have developed our ontology mapping module.
这一部分把控制权赋予用户，让用户把新的服务映射到本体中，选择用于自定义mashup的数据。
In this part, you give the user control, and enable him or her to map new services into the ontology and to pick and choose the data used for a custom mashup.
这一部分把控制权赋予用户，让用户把新的服务映射到本体中，选择用于自定义mashup的数据。
In this part, you give the user control, and enable him or her to map new services into the ontology and to pick and choose the data used for a custom mashup.
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