基于数据仓库结构的多维信息系统元数据存储库开发

Yevgeni Kuznetcov, M. Fomin, A. Vinogradov
{"title":"基于数据仓库结构的多维信息系统元数据存储库开发","authors":"Yevgeni Kuznetcov, M. Fomin, A. Vinogradov","doi":"10.1145/3373722.3373777","DOIUrl":null,"url":null,"abstract":"When organizing automated data collection in a data warehouse under the conditions of increasing data volume and complicating the business model of an enterprise, an information system data model control becomes one of the priority tasks. The article discusses a method of metadata repository developing in terms of metadata responsible for describing business objects and the relationships between them. The choice of \"Data vault\" determines the construction of a data warehouse within the framework of an information system based on the classical design approach with a 3-level data presentation architecture, which includes a data preparation area, or an online data warehouse, data warehouse and thematic data marts. The proposed approach allows organizing data storage within the data warehouse using a metadata repository based on the multidimensional organization principle. The metadata repository is responsible for the data collection process, the data storage process, and the presentation of data for analysis. The metadata repository is presented in the form of a metamodel that is semantically related to the domain of the system, is easily reconstructed in case of changes in the business model of the domain, and allows data marts to be created with the structure of a multidimensional data model based on the Star relational scheme. This allows you to organize the human-computer interaction when describing a metamodel, using mainly knowledge about the structure of the subject area. When describing a metamodel, the first-order predicate calculus language is used, which makes it possible to control the metamodel using a declarative programming style - the \"Prolog\" language. The key point in the structure of the information system is the way of transition from the \"Data vault\" model to a multidimensional data representation model based on associative rules of dependence between information objects.","PeriodicalId":243162,"journal":{"name":"Proceedings of the XI International Scientific Conference Communicative Strategies of the Information Society","volume":"71 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multidimensional Information Systems Metadata Repository Development with a Data Warehouse Structure Using \\\"Data Vault\\\" Methodology\",\"authors\":\"Yevgeni Kuznetcov, M. Fomin, A. Vinogradov\",\"doi\":\"10.1145/3373722.3373777\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"When organizing automated data collection in a data warehouse under the conditions of increasing data volume and complicating the business model of an enterprise, an information system data model control becomes one of the priority tasks. The article discusses a method of metadata repository developing in terms of metadata responsible for describing business objects and the relationships between them. The choice of \\\"Data vault\\\" determines the construction of a data warehouse within the framework of an information system based on the classical design approach with a 3-level data presentation architecture, which includes a data preparation area, or an online data warehouse, data warehouse and thematic data marts. The proposed approach allows organizing data storage within the data warehouse using a metadata repository based on the multidimensional organization principle. The metadata repository is responsible for the data collection process, the data storage process, and the presentation of data for analysis. The metadata repository is presented in the form of a metamodel that is semantically related to the domain of the system, is easily reconstructed in case of changes in the business model of the domain, and allows data marts to be created with the structure of a multidimensional data model based on the Star relational scheme. This allows you to organize the human-computer interaction when describing a metamodel, using mainly knowledge about the structure of the subject area. When describing a metamodel, the first-order predicate calculus language is used, which makes it possible to control the metamodel using a declarative programming style - the \\\"Prolog\\\" language. The key point in the structure of the information system is the way of transition from the \\\"Data vault\\\" model to a multidimensional data representation model based on associative rules of dependence between information objects.\",\"PeriodicalId\":243162,\"journal\":{\"name\":\"Proceedings of the XI International Scientific Conference Communicative Strategies of the Information Society\",\"volume\":\"71 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-10-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the XI International Scientific Conference Communicative Strategies of the Information Society\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3373722.3373777\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the XI International Scientific Conference Communicative Strategies of the Information Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3373722.3373777","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

在数据量不断增加、企业业务模型日趋复杂的情况下,在数据仓库中组织自动数据收集时,信息系统数据模型控制成为优先考虑的任务之一。本文讨论了一种根据负责描述业务对象及其之间关系的元数据开发元数据存储库的方法。“数据仓库”的选择决定了在基于经典设计方法的信息系统框架内构建数据仓库,采用三级数据表示体系结构,包括数据准备区域,或者在线数据仓库、数据仓库和主题数据集市。所建议的方法允许使用基于多维组织原则的元数据存储库来组织数据仓库中的数据存储。元数据存储库负责数据收集过程、数据存储过程和用于分析的数据表示。元数据存储库以元模型的形式呈现,该元模型在语义上与系统的域相关,在域的业务模型发生更改时易于重构,并且允许使用基于Star关系方案的多维数据模型的结构创建数据集市。这允许您在描述元模型时组织人机交互,主要使用关于主题领域结构的知识。在描述元模型时,使用一阶谓词演算语言,这使得使用声明式编程风格(“Prolog”语言)控制元模型成为可能。信息系统结构的关键是如何从“数据仓库”模型过渡到基于信息对象间依赖关联规则的多维数据表示模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Multidimensional Information Systems Metadata Repository Development with a Data Warehouse Structure Using "Data Vault" Methodology
When organizing automated data collection in a data warehouse under the conditions of increasing data volume and complicating the business model of an enterprise, an information system data model control becomes one of the priority tasks. The article discusses a method of metadata repository developing in terms of metadata responsible for describing business objects and the relationships between them. The choice of "Data vault" determines the construction of a data warehouse within the framework of an information system based on the classical design approach with a 3-level data presentation architecture, which includes a data preparation area, or an online data warehouse, data warehouse and thematic data marts. The proposed approach allows organizing data storage within the data warehouse using a metadata repository based on the multidimensional organization principle. The metadata repository is responsible for the data collection process, the data storage process, and the presentation of data for analysis. The metadata repository is presented in the form of a metamodel that is semantically related to the domain of the system, is easily reconstructed in case of changes in the business model of the domain, and allows data marts to be created with the structure of a multidimensional data model based on the Star relational scheme. This allows you to organize the human-computer interaction when describing a metamodel, using mainly knowledge about the structure of the subject area. When describing a metamodel, the first-order predicate calculus language is used, which makes it possible to control the metamodel using a declarative programming style - the "Prolog" language. The key point in the structure of the information system is the way of transition from the "Data vault" model to a multidimensional data representation model based on associative rules of dependence between information objects.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Dynamic of hashtag functions development in new media: Hashtag as an identificational mark of digital communication in social networks Digital trance: neo-shamanism in the Russian Internet Dynamics of the student youth's value paradigm changes in the information society Information extraction tasks in public administration domain: ISIDA-T natural language processing system Social aspects of human-computer interactions in the media: tendencies and threats
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1