Article
Version 1
Preserved in Portico This version is not peer-reviewed
Transforming Points of Single Contact Data into Linked Data
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These authors contributed equally to this work.
Version 1
: Received: 25 May 2022 / Approved: 25 May 2022 / Online: 25 May 2022 (08:18:46 CEST)
A peer-reviewed article of this Preprint also exists.
Fragkou, P.; Maglaras, L. Transforming Points of Single Contact Data into Linked Data. Computers 2022, 11, 122. Fragkou, P.; Maglaras, L. Transforming Points of Single Contact Data into Linked Data. Computers 2022, 11, 122.
Abstract
In this paper, we present a method to map information regarding service activity provision residing in governmental portals across European Commission. In order to perform this, we used as a basis the enriched Greek e-GIF ontology, modeling concepts, and relations in one of the two data portals (i.e., Points of Single Contacts) examined, since relevant information on the second was not provided. Mapping consisted in transforming information appearing in governmental portals in RDF format (i.e., as Linked data), in order to be easily exchangeable. Mapping proved a tedious task, since description on how information is modeled in the second Point of Single Contact is not provided and must be extracted in a manual manner.
Keywords
Linked (open) Data; Semantic Interoperability; Data Mapping; Governmental Data; SPARQL; Ontologies
Subject
Computer Science and Mathematics, Information Systems
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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