Modelling and Linking Company Data in the euBusinessGraph Platform

A. Maurino, A. Rula, Bjørn Marius von Zernichow, Mauricio Soto Gomez, B. Elvesæter, D. Roman
{"title":"Modelling and Linking Company Data in the euBusinessGraph Platform","authors":"A. Maurino, A. Rula, Bjørn Marius von Zernichow, Mauricio Soto Gomez, B. Elvesæter, D. Roman","doi":"10.1145/3336499.3338012","DOIUrl":null,"url":null,"abstract":"In the business environment, knowledge of company data is essential for a variety of tasks. The European funded project euBusinessGraph enables the establishment of a company data platform where data providers and consumers can publish and access company data. The core of the platform is the semantic data model that is the conceptual representation of company data in a common way so that it is easier to share and interlink company data. In this paper we show how the unified model and Grafterizer, a tool for manipulating and transforming raw data into Linked Data, support the linking challenge proposed in FEIII 2019. Results show that geographical enrichment of RDF data supports the interlinking process between company entities in different datasets.","PeriodicalId":148424,"journal":{"name":"Proceedings of the 5th Workshop on Data Science for Macro-modeling with Financial and Economic Datasets","volume":"115 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 5th Workshop on Data Science for Macro-modeling with Financial and Economic Datasets","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3336499.3338012","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

In the business environment, knowledge of company data is essential for a variety of tasks. The European funded project euBusinessGraph enables the establishment of a company data platform where data providers and consumers can publish and access company data. The core of the platform is the semantic data model that is the conceptual representation of company data in a common way so that it is easier to share and interlink company data. In this paper we show how the unified model and Grafterizer, a tool for manipulating and transforming raw data into Linked Data, support the linking challenge proposed in FEIII 2019. Results show that geographical enrichment of RDF data supports the interlinking process between company entities in different datasets.
在euBusinessGraph平台中建模和连接公司数据
在商业环境中,公司数据的知识对于各种任务都是必不可少的。欧洲资助的euBusinessGraph项目建立了一个公司数据平台,数据提供者和消费者可以在该平台上发布和访问公司数据。该平台的核心是语义数据模型,它是以通用方式对公司数据进行概念性表示,以便更容易地共享和互连公司数据。在本文中,我们展示了统一模型和Grafterizer(一种用于操纵原始数据并将其转换为关联数据的工具)如何支持FEIII 2019中提出的链接挑战。结果表明,RDF数据的地理富集支持不同数据集中公司实体之间的互连过程。
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