{"title":"从验证角度提出专家知识内容数据库设计建议","authors":"Ѐva Hajnal","doi":"10.54664/cjrk7682","DOIUrl":null,"url":null,"abstract":"Expert Knowledge Content Database (EKCD) contains small or medium amount of data but its data content is valuable, which can be determined by expert work. Expert work can be a complex measurement, estimation, or data integration. Database design and validation was analyzed in a case study with EKCD Eulakes – Phytoplankton database of Lake Stechlin. Different data quality metrics was calculated and evaluated, and the content based inconsistency was evaluated. In the conclusion a schema is given for helping the design and validation.","PeriodicalId":238000,"journal":{"name":"Mathematics, Computer Science and Education","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Expert Knowledge Content Database Design Suggestions from Validation Aspect\",\"authors\":\"Ѐva Hajnal\",\"doi\":\"10.54664/cjrk7682\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Expert Knowledge Content Database (EKCD) contains small or medium amount of data but its data content is valuable, which can be determined by expert work. Expert work can be a complex measurement, estimation, or data integration. Database design and validation was analyzed in a case study with EKCD Eulakes – Phytoplankton database of Lake Stechlin. Different data quality metrics was calculated and evaluated, and the content based inconsistency was evaluated. In the conclusion a schema is given for helping the design and validation.\",\"PeriodicalId\":238000,\"journal\":{\"name\":\"Mathematics, Computer Science and Education\",\"volume\":\"35 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-12-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Mathematics, Computer Science and Education\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.54664/cjrk7682\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mathematics, Computer Science and Education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.54664/cjrk7682","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Expert Knowledge Content Database Design Suggestions from Validation Aspect
Expert Knowledge Content Database (EKCD) contains small or medium amount of data but its data content is valuable, which can be determined by expert work. Expert work can be a complex measurement, estimation, or data integration. Database design and validation was analyzed in a case study with EKCD Eulakes – Phytoplankton database of Lake Stechlin. Different data quality metrics was calculated and evaluated, and the content based inconsistency was evaluated. In the conclusion a schema is given for helping the design and validation.
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