{"title":"面向科学数据库数据集成的网格环境","authors":"H. Matsuda","doi":"10.1109/E-SCIENCE.2005.5","DOIUrl":null,"url":null,"abstract":"Effective integration of heterogeneous data sources has been studied as the most pressing challenge in various fields; such as, high energy physics, astronomy, and life sciences. In this talk, we present a data integration system by using Globus Toolkit with OGSA-DAI. For associating related data among many databases, we have introduced metadata based on their domain ontologies. Using the system one can make a database access flow for describing a set of queries as a workflow, and can query across the databases without aware of their locations and schemas","PeriodicalId":6364,"journal":{"name":"2012 IEEE 8th International Conference on E-Science","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2005-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A Grid Environment for Data Integration of Scientific Databases\",\"authors\":\"H. Matsuda\",\"doi\":\"10.1109/E-SCIENCE.2005.5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Effective integration of heterogeneous data sources has been studied as the most pressing challenge in various fields; such as, high energy physics, astronomy, and life sciences. In this talk, we present a data integration system by using Globus Toolkit with OGSA-DAI. For associating related data among many databases, we have introduced metadata based on their domain ontologies. Using the system one can make a database access flow for describing a set of queries as a workflow, and can query across the databases without aware of their locations and schemas\",\"PeriodicalId\":6364,\"journal\":{\"name\":\"2012 IEEE 8th International Conference on E-Science\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2005-12-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE 8th International Conference on E-Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/E-SCIENCE.2005.5\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE 8th International Conference on E-Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/E-SCIENCE.2005.5","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Grid Environment for Data Integration of Scientific Databases
Effective integration of heterogeneous data sources has been studied as the most pressing challenge in various fields; such as, high energy physics, astronomy, and life sciences. In this talk, we present a data integration system by using Globus Toolkit with OGSA-DAI. For associating related data among many databases, we have introduced metadata based on their domain ontologies. Using the system one can make a database access flow for describing a set of queries as a workflow, and can query across the databases without aware of their locations and schemas
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