考虑不同边权重值，利用图匹配策略生成本体匹配图计算相似度。
Weighting the weight to different relations in ontology, and using the method to generate the matching graph.
本文是基于多策略的本体匹配的研究，主要采用了学习策略实现本体匹配。
In this paper, learning has been adopted in the realization of ontology matching.
该方法将信息模型转换为本体后，通过动态适应的多策略本体匹配得到映射结果。
After translating from information model to ontology, mapping results were generated by the dynamic adaptive multi-strategy ontology matching.
实验结果表明，本体匹配技术及自学机制的使用是系统准确率和召回率提高的关键。
The experiments show the methods of domain-specific ontologies matching and self-learning mechanism are vital to increase the precision rate and the recall rate.
另外考虑本体的关系影响，对不同类型关系引入不同权重生成本体描述矩阵，引入图理论算法生成本体匹配图（MGO）。
And next point is that different relations are assigned different weights, and then the matching graph of ontologys (MGO) is generated by using graph theory.
语义web中比较复杂的部分就是设计一个与您的数据相匹配的本体。
A more complex part of the Semantic Web is to design an ontology that matches up to your data.
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；
Ontology to Ontology mediators (OO-Mediators) connect ontologies and resolve terminological and representational mismatches;
语义匹配方法具有使用正式语义的优点，更适合用于解决本体的一对多匹配。
The semantic match method has the merit of using official semantic, it is suited to solve one-to-more ontology match.
本体系采用基体匹配、背景系数和元素干扰系数校正及元素内标法确定了最佳综合实验测试条件。
The optimal experimental conditions were obtained by matrix element match, background coefficient and element interference coefficient correction as well as element internal standard method.
本体一对多匹配主要存在于以分类结构为组织方式的本体中，本文针对这个特点提出使用分类结构的定义来解决。
One-to-more ontology match exists mainly in the ontology which is organized in taxonomy, this article takes the view and proposes to solve the question by using the definition of taxonomy.
然后将这些特征项与领域本体库中存储的领域特征项进行匹配，从而得到文本的类别。
Then the feature item Matches with the Feature-Database, Thus obtains the document's category. This paper designs two kinds of categorization methods.
该方法充分利用了领域知识模型以及领域本体相互之间存在的语义相关性，从语义匹配的角度探讨了构造新领域本体的可能性。
This methodology uses the semantic relevance of existing domain models and domain ontologies, and proposes the possibility of building ontologies following the view of semantic match.
其中，本体论服务器用于指导各分布协同群集间的语义匹配和通信，提供资源注册入口。
Ontology server guides the semantic match and communication among heterogeneous collaboration resource groups, and provides concepts as resource registry entries.
P BM模块将大量的本体分割成小型的聚类，然后对小型聚类进行匹配。
PBM Module partitions large ontologies into small clusters, and then matches between and within clusters.
给出了基于工况匹配电机本体效率的计算方法。
A method for calculating the overall efficiency of the motor based on the vehicle drive cycle was suggested.
给出了基于工况匹配电机本体效率的计算方法。
A method for calculating the overall efficiency of the motor based on the vehicle drive cycle was suggested.
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