To investigate the feasibility of using a form cutter to machine the Radial Matcher Section （RMS） of tile Radio Frequency Quadrupole （RFQ） for the Accelerator Driven System （ADS） project at Institute of Modern P...To investigate the feasibility of using a form cutter to machine the Radial Matcher Section （RMS） of tile Radio Frequency Quadrupole （RFQ） for the Accelerator Driven System （ADS） project at Institute of Modern Physics, Chinese Academy of Sciences （IMP, CAS）, the influence of RMS end shape on the RFQ cavity frequency is studied. The results indicate that using a form cutter to machine the RMS of an RFQ will indeed influence the cavity frequency. The RMS end shape will give more influence to a shorter RFQ cavity. For the 4.2 m ADS RFQ, the influence is negligible, which means that a form cutter can be used to machine the RMS.展开更多
Schema matching is a critical step in the integration of heterogeneous web service,which contains various types of web services and multi-version services of the same type.Mapping loss or mismatch usually occurs due t...Schema matching is a critical step in the integration of heterogeneous web service,which contains various types of web services and multi-version services of the same type.Mapping loss or mismatch usually occurs due to schema differences in structure and content and the variety in concept definition and organization.Current instance schema matching methods are not mature enough for heterogeneous web service because they cannot deal with the instance data in web service domain and capture all the semantics,especially metadata semantics.The metadata-based and the instance-based matching methods,in the case of being employed individually,are not efficient to determine the concept relationships,which are crucial for finding high-quality matches between schema attributes.In this paper,we propose an improved schema matching method,based on the combination of instance and metadata(CIM)matcher.The main method of our approach is to utilize schema structure,element labels,and the corresponding instance data information.The matching process is divided into two phases.In the first phase,the metadata-based matchers are used to compute the element label similarity of multi-version open geospatial consortium web service schema,and the generated matching results are raw mappings,which will be reused in the next instance matching phase.In the second phase,the designed instance matching algorithms are employed to the instance data of the raw mappings and fine mappings are generated.Finally,the raw mappings and the fine mappings are combined,and the final mappings are obtained.Our experiments are executed on different versions of web coverage service and web feature service instance data deployed in Geoserver.The results indicate that,the CIM method can obtain more accurate matching results and is flexible enough to handle the web service instance data.展开更多
不同本体之间的异构性严重地影响了本体之间的知识共享与重用,为此,提出一种基于多种类型匹配器的本体映射方法 OM-Matchers(Ontology mapping based on multiple matchers).在建立本体之间映射关系的过程中,OM-Matchers先使用多个类型...不同本体之间的异构性严重地影响了本体之间的知识共享与重用,为此,提出一种基于多种类型匹配器的本体映射方法 OM-Matchers(Ontology mapping based on multiple matchers).在建立本体之间映射关系的过程中,OM-Matchers先使用多个类型的匹配器从本体模型中抽取相应类型的信息;然后这些匹配器为概念对计算相似度值,其中概念对所包含的两个概念来自于不同的本体;最后为待映射的本体模型建立相似度矩阵,并采用迭代策略完成本体映射任务.为了验证本文所提方法在处理本体映射问题时的可行性与有效性,采用OAEI所提供的共享数据集的benchmarks子集来测试OM-Matchers.实验结果表明:OM-Matchers可以有效地建立异构本体之间的映射关系.展开更多
基金Supported by"Strategic Priority Research Program"of the Chinese Academy of Sciences(XDA03020500)NSFC(110790001)
文摘To investigate the feasibility of using a form cutter to machine the Radial Matcher Section （RMS） of tile Radio Frequency Quadrupole （RFQ） for the Accelerator Driven System （ADS） project at Institute of Modern Physics, Chinese Academy of Sciences （IMP, CAS）, the influence of RMS end shape on the RFQ cavity frequency is studied. The results indicate that using a form cutter to machine the RMS of an RFQ will indeed influence the cavity frequency. The RMS end shape will give more influence to a shorter RFQ cavity. For the 4.2 m ADS RFQ, the influence is negligible, which means that a form cutter can be used to machine the RMS.
基金This work was supported by the National Natural Science Foundation of China[grant number 41201393]the Open Research Fund of State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing of Wuhan University[grant number 14I03].
文摘Schema matching is a critical step in the integration of heterogeneous web service,which contains various types of web services and multi-version services of the same type.Mapping loss or mismatch usually occurs due to schema differences in structure and content and the variety in concept definition and organization.Current instance schema matching methods are not mature enough for heterogeneous web service because they cannot deal with the instance data in web service domain and capture all the semantics,especially metadata semantics.The metadata-based and the instance-based matching methods,in the case of being employed individually,are not efficient to determine the concept relationships,which are crucial for finding high-quality matches between schema attributes.In this paper,we propose an improved schema matching method,based on the combination of instance and metadata(CIM)matcher.The main method of our approach is to utilize schema structure,element labels,and the corresponding instance data information.The matching process is divided into two phases.In the first phase,the metadata-based matchers are used to compute the element label similarity of multi-version open geospatial consortium web service schema,and the generated matching results are raw mappings,which will be reused in the next instance matching phase.In the second phase,the designed instance matching algorithms are employed to the instance data of the raw mappings and fine mappings are generated.Finally,the raw mappings and the fine mappings are combined,and the final mappings are obtained.Our experiments are executed on different versions of web coverage service and web feature service instance data deployed in Geoserver.The results indicate that,the CIM method can obtain more accurate matching results and is flexible enough to handle the web service instance data.
文摘不同本体之间的异构性严重地影响了本体之间的知识共享与重用,为此,提出一种基于多种类型匹配器的本体映射方法 OM-Matchers(Ontology mapping based on multiple matchers).在建立本体之间映射关系的过程中,OM-Matchers先使用多个类型的匹配器从本体模型中抽取相应类型的信息;然后这些匹配器为概念对计算相似度值,其中概念对所包含的两个概念来自于不同的本体;最后为待映射的本体模型建立相似度矩阵,并采用迭代策略完成本体映射任务.为了验证本文所提方法在处理本体映射问题时的可行性与有效性,采用OAEI所提供的共享数据集的benchmarks子集来测试OM-Matchers.实验结果表明:OM-Matchers可以有效地建立异构本体之间的映射关系.
