An extended query-driven framework for spatial multidimensional modeling

M. E. Mohajir, H. Zakaria
{"title":"An extended query-driven framework for spatial multidimensional modeling","authors":"M. E. Mohajir, H. Zakaria","doi":"10.1109/CIST.2012.6388078","DOIUrl":null,"url":null,"abstract":"The multidimensional conceptual model is an important artifact that fixes the role of the future data warehouse. Its design quality is indicated by the conformity rate with the requirements expressed by the decision makers and the end-users. Existing proposals for conceptual multidimensional modeling do not systematically take into consideration the end-users queries neither at the formal level nor at the requirement level for driving the data schema design of the future DW. The conformity of the Spatial DW is assured by both business constraints and spatial constraints that should be leveraged at a conceptual level to ease the design and be at a higher abstraction level in order not to be tied to a specific platform. Our extended framework encloses the user queries and the constraints at a conceptual level and gives a global approach for designing Spatial DW. It starts with a query-driven framework tailored for spatiality, and then transforms the Multidimensional Conceptual Model to a UML profile, which is enriched by business and spatial constraints using OCL. Finally, the user queries physical implementation is generated automatically using the OCL22SQL tool.","PeriodicalId":120664,"journal":{"name":"2012 Colloquium in Information Science and Technology","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Colloquium in Information Science and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIST.2012.6388078","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The multidimensional conceptual model is an important artifact that fixes the role of the future data warehouse. Its design quality is indicated by the conformity rate with the requirements expressed by the decision makers and the end-users. Existing proposals for conceptual multidimensional modeling do not systematically take into consideration the end-users queries neither at the formal level nor at the requirement level for driving the data schema design of the future DW. The conformity of the Spatial DW is assured by both business constraints and spatial constraints that should be leveraged at a conceptual level to ease the design and be at a higher abstraction level in order not to be tied to a specific platform. Our extended framework encloses the user queries and the constraints at a conceptual level and gives a global approach for designing Spatial DW. It starts with a query-driven framework tailored for spatiality, and then transforms the Multidimensional Conceptual Model to a UML profile, which is enriched by business and spatial constraints using OCL. Finally, the user queries physical implementation is generated automatically using the OCL22SQL tool.
用于空间多维建模的扩展查询驱动框架
多维概念模型是确定未来数据仓库角色的重要工件。它的设计质量是由与决策者和最终用户所表达的要求的符合率来表示的。现有的概念性多维建模建议没有系统地考虑最终用户的查询,无论是在正式级别还是在驱动未来DW的数据模式设计的需求级别。空间DW的一致性由业务约束和空间约束保证,这些约束应该在概念级别上加以利用,以简化设计,并在更高的抽象级别上加以利用,以便不绑定到特定的平台。我们的扩展框架在概念层面封装了用户查询和约束,并提供了设计空间数据仓库的全局方法。它从为空间性量身定制的查询驱动框架开始,然后将多维概念模型转换为UML概要文件,该概要文件通过使用OCL的业务和空间约束进行了丰富。最后,使用OCL22SQL工具自动生成用户查询的物理实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信