Please use this identifier to cite or link to this item:
https://ruomo.lib.uom.gr/handle/7000/834
Title: | On modeling linked open statistical data |
Authors: | Kalampokis, Evangelos Zeginis, Dimitris Tarabanis, Konstantinos |
Type: | Article |
Subjects: | FRASCATI::Natural sciences::Computer and information sciences |
Keywords: | Open data Linked open statistical data Modeling challenges Delphi method |
Issue Date: | Mar-2019 |
Publisher: | Elsevier |
Source: | Journal of Web Semantics |
Volume: | 55 |
First Page: | 56 |
Last Page: | 68 |
Abstract: | 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 based on Delphi method. We anticipate that the results of this paper will contribute towards the formulation of best practices for creating LOSD, and thus facilitate combining and analyzing statistical data from diverse sources on the Web. |
URI: | https://doi.org/10.1016/j.websem.2018.11.002 https://ruomo.lib.uom.gr/handle/7000/834 |
ISSN: | 1570-8268 |
Other Identifiers: | 10.1016/j.websem.2018.11.002 |
Appears in Collections: | Department of Business Administration |
Files in This Item:
File | Description | Size | Format | |
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2019-JoWS-postprint.pdf | 405,97 kB | Adobe PDF | View/Open |
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