Validating ORA-SS data models using Alloy

L. Wang, G. Dobbie, Jing Sun, L. Groves
{"title":"Validating ORA-SS data models using Alloy","authors":"L. Wang, G. Dobbie, Jing Sun, L. Groves","doi":"10.1109/ASWEC.2006.54","DOIUrl":null,"url":null,"abstract":"Semistructured data is typically represented using XML. However, little semantic information can be captured using XML. Other data models, such as the object relationship attribute data model for semistructured data (ORA-SS), have been introduced to represent more detailed semantic information. Automatic analysis of the data models would enable us to reveal inconsistencies both at the schema and instance levels of the semistructured data. The aim of this paper is to encode the semantics of the ORA-SS data model in the Alloy formal language and automatically validate the semistructured data design using the Alloy analyzer. It enables us to check the consistency of an ORA-SS schema and its instances.","PeriodicalId":285684,"journal":{"name":"Australian Software Engineering Conference (ASWEC'06)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Australian Software Engineering Conference (ASWEC'06)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASWEC.2006.54","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 15

Abstract

Semistructured data is typically represented using XML. However, little semantic information can be captured using XML. Other data models, such as the object relationship attribute data model for semistructured data (ORA-SS), have been introduced to represent more detailed semantic information. Automatic analysis of the data models would enable us to reveal inconsistencies both at the schema and instance levels of the semistructured data. The aim of this paper is to encode the semantics of the ORA-SS data model in the Alloy formal language and automatically validate the semistructured data design using the Alloy analyzer. It enables us to check the consistency of an ORA-SS schema and its instances.
使用Alloy验证ORA-SS数据模型
半结构化数据通常使用XML表示。但是,使用XML可以捕获的语义信息很少。引入了其他数据模型,例如半结构化数据的对象关系属性数据模型(ORA-SS),以表示更详细的语义信息。数据模型的自动分析将使我们能够揭示半结构化数据的模式和实例级别上的不一致性。本文的目的是用Alloy形式语言对ORA-SS数据模型的语义进行编码,并利用Alloy分析器对半结构化数据设计进行自动验证。它使我们能够检查ORA-SS模式及其实例的一致性。
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