{"title":"结构工程实验网格数据管理","authors":"Xiaohui Zhang, Ruihua Di, Zi-jun Weng","doi":"10.1109/ChinaGrid.2010.33","DOIUrl":null,"url":null,"abstract":"In Structural Engineering Experiment Grid (SEEGrid), there are huge amounts of heterogeneous data distributed in different experimental sites. This paper summarizes a conceptual model of the experimental data, and based on this conceptual model, Structural Engineering Experimental Data Management Framework (SEEDMF) is proposed to manage the structured data and unstructured. In addition, the heterogeneity of structured data, which can be overcome by SEEDMF, is discussed in detail. Finally, the portal of Engineering Experimental Data Management System(SEEDMS) which is a part of SEE-Grid is demonstrated.","PeriodicalId":429657,"journal":{"name":"2010 Fifth Annual ChinaGrid Conference","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Data Management in Structural Engineering Experiment Grid\",\"authors\":\"Xiaohui Zhang, Ruihua Di, Zi-jun Weng\",\"doi\":\"10.1109/ChinaGrid.2010.33\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In Structural Engineering Experiment Grid (SEEGrid), there are huge amounts of heterogeneous data distributed in different experimental sites. This paper summarizes a conceptual model of the experimental data, and based on this conceptual model, Structural Engineering Experimental Data Management Framework (SEEDMF) is proposed to manage the structured data and unstructured. In addition, the heterogeneity of structured data, which can be overcome by SEEDMF, is discussed in detail. Finally, the portal of Engineering Experimental Data Management System(SEEDMS) which is a part of SEE-Grid is demonstrated.\",\"PeriodicalId\":429657,\"journal\":{\"name\":\"2010 Fifth Annual ChinaGrid Conference\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-07-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 Fifth Annual ChinaGrid Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ChinaGrid.2010.33\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Fifth Annual ChinaGrid Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ChinaGrid.2010.33","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Data Management in Structural Engineering Experiment Grid
In Structural Engineering Experiment Grid (SEEGrid), there are huge amounts of heterogeneous data distributed in different experimental sites. This paper summarizes a conceptual model of the experimental data, and based on this conceptual model, Structural Engineering Experimental Data Management Framework (SEEDMF) is proposed to manage the structured data and unstructured. In addition, the heterogeneity of structured data, which can be overcome by SEEDMF, is discussed in detail. Finally, the portal of Engineering Experimental Data Management System(SEEDMS) which is a part of SEE-Grid is demonstrated.
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