Scheme mapping for relational database transformation to ontology: A survey

Paramita Mayadewi, B. Sitohang, F. N. Azizah
{"title":"Scheme mapping for relational database transformation to ontology: A survey","authors":"Paramita Mayadewi, B. Sitohang, F. N. Azizah","doi":"10.1109/ICODSE.2017.8285866","DOIUrl":null,"url":null,"abstract":"Ontology has an important role in creating semantic data on web semantics. Developing a new ontology model for a knowledge domain is not an easy process. Several existing studies, trying to obtain knowledge from existing assets, that is relational data model. The fundamental problem in the process of transforming relational database to ontology is how to construct an ontology model and extracting hidden semantics from relational model. Relational model are recognized as less expressive and incapable of supporting some conceptualizations. In this paper, we will provide an overview of the mapping scheme approach for transforming relational databases to ontologies based on literature studies from several studies that have been conducted. The results of the study concluded that the mapping scheme process for relational database transformation to ontology should consider all possible combinations of primary and foreign keys in relational model to produce a rich ontology.","PeriodicalId":366005,"journal":{"name":"2017 International Conference on Data and Software Engineering (ICoDSE)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Data and Software Engineering (ICoDSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICODSE.2017.8285866","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Ontology has an important role in creating semantic data on web semantics. Developing a new ontology model for a knowledge domain is not an easy process. Several existing studies, trying to obtain knowledge from existing assets, that is relational data model. The fundamental problem in the process of transforming relational database to ontology is how to construct an ontology model and extracting hidden semantics from relational model. Relational model are recognized as less expressive and incapable of supporting some conceptualizations. In this paper, we will provide an overview of the mapping scheme approach for transforming relational databases to ontologies based on literature studies from several studies that have been conducted. The results of the study concluded that the mapping scheme process for relational database transformation to ontology should consider all possible combinations of primary and foreign keys in relational model to produce a rich ontology.
关系数据库到本体转换的模式映射:综述
本体在创建web语义数据中起着重要的作用。为一个知识领域开发一个新的本体模型并不是一个简单的过程。一些现有的研究,试图从现有的资产中获取知识,即关系数据模型。关系数据库向本体转换过程中的基本问题是如何构建本体模型并从关系模型中提取隐含语义。关系模型被认为表达能力较差,无法支持某些概念化。在本文中,我们将根据已经进行的几项研究的文献研究,概述将关系数据库转换为本体的映射方案方法。研究结果表明,关系数据库向本体转换的映射方案过程应考虑关系模型中所有可能的主键和外键组合,以生成丰富的本体。
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