{"title":"使用数据仓库元模型建模分析指标","authors":"Andrzej Januszewski, Tadeusz Pankowski","doi":"10.1109/DEXA.2006.98","DOIUrl":null,"url":null,"abstract":"We propose a metamodel-oriented framework for modeling business analytical indicators. In the modeling we apply the CWM's behavioral metamodel and discuss the advantages of using it to plan and model business warehouses. We show how to model indicators in the conformity with such a metamodel. This approach, which is based on a standard metamodel, allows us to realize data transformations between different implementations of different data repositories. In this way, it is possible to achieve interoperability of independently designed data warehouse systems","PeriodicalId":282986,"journal":{"name":"17th International Workshop on Database and Expert Systems Applications (DEXA'06)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Modeling Analytical Indicators Using DataWarehouse Metamodel\",\"authors\":\"Andrzej Januszewski, Tadeusz Pankowski\",\"doi\":\"10.1109/DEXA.2006.98\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose a metamodel-oriented framework for modeling business analytical indicators. In the modeling we apply the CWM's behavioral metamodel and discuss the advantages of using it to plan and model business warehouses. We show how to model indicators in the conformity with such a metamodel. This approach, which is based on a standard metamodel, allows us to realize data transformations between different implementations of different data repositories. In this way, it is possible to achieve interoperability of independently designed data warehouse systems\",\"PeriodicalId\":282986,\"journal\":{\"name\":\"17th International Workshop on Database and Expert Systems Applications (DEXA'06)\",\"volume\":\"55 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-09-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"17th International Workshop on Database and Expert Systems Applications (DEXA'06)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DEXA.2006.98\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"17th International Workshop on Database and Expert Systems Applications (DEXA'06)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DEXA.2006.98","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Modeling Analytical Indicators Using DataWarehouse Metamodel
We propose a metamodel-oriented framework for modeling business analytical indicators. In the modeling we apply the CWM's behavioral metamodel and discuss the advantages of using it to plan and model business warehouses. We show how to model indicators in the conformity with such a metamodel. This approach, which is based on a standard metamodel, allows us to realize data transformations between different implementations of different data repositories. In this way, it is possible to achieve interoperability of independently designed data warehouse systems
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