作者
Evangelos Kalampokis, Dimitris Zeginis, Konstantinos Tarabanis
发表日期
2019/3/1
期刊
Journal of Web Semantics
卷号
55
页码范围
56-68
出版商
Elsevier
简介
A major part of Open Data concerns statistics such as economic and social indicators. Statistical data are structured in a multidimensional manner creating data cubes. Recently, National Statistical Institutes and public authorities adopted the Linked Data paradigm to publish their statistical data on the Web. Many vocabularies have been created to enable modeling data cubes as RDF graphs, and thus creating Linked Open Statistical Data (LOSD). However, the creation of LOSD remains a demanding task mainly because of modeling challenges related either to the conceptual definition of the cube, or to the way of modeling cubes as linked data. The aim of this paper is to identify and clarify (a) modeling challenges related to the creation of LOSD and (b) approaches to address them. Towards this end, nine LOSD experts were involved in an interactive feedback collection and consensus-building process that was …
引用总数
201920202021202220232024499373
学术搜索中的文章
E Kalampokis, D Zeginis, K Tarabanis - Journal of Web Semantics, 2019