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Transforming Points of Single Contact Data into Linked Data

Fragkou, Pavlina; Maglaras, Leandros

Authors

Pavlina Fragkou



Abstract

Open data portals contain valuable information for citizens and business. However, searching for information can prove to be tiresome even in portals tackling domains similar information. A typical case is the information residing in the European Commission’s portals supported by Member States aiming to facilitate service provision activities for EU citizens and businesses. The current work followed the FAIR principles (Findability, Accessibility, Interoperability, and Reuse of digital assets) as well as the GO-FAIR principles and tried to transform raw data into fair data. The innovative part of this work is the mapping of information residing in various governmental portals (Points of Single Contacts) by transforming information appearing in them in RDF format (i.e., as Linked data), in order to make them easily accessible, exchangeable, interoperable and publishable as linked open data. Mapping was performed using the semantic model of a single portal, i.e., the enriched Greek e-GIF ontology and by retrieving and analyzing raw, i.e., non-FAIR data, by defining the semantic model and by making data linkable. The Data mapping process proved to require a significant manual effort and revealed that data value remains unexplored due to poor data representation. It also highlighted the need for appropriately designing and implementing horizontal actions addressing an important number of recipients in an interoperable way.

Journal Article Type Article
Acceptance Date Aug 5, 2022
Online Publication Date Aug 11, 2022
Publication Date Aug 11, 2022
Deposit Date Dec 13, 2022
Publicly Available Date Dec 13, 2022
Journal Computers
Electronic ISSN 2073-431X
Publisher MDPI
Peer Reviewed Peer Reviewed
Volume 11
Issue 8
Article Number 122
DOI https://doi.org/10.3390/computers11080122
Keywords Linked (open) data, Semantic interoperability, FAIR principles, Data mapping, Governmental data, SPARQL, Ontologies
Public URL http://researchrepository.napier.ac.uk/Output/2969509

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