1. Αποθετήριο Παραδοτέων Υποτρόφων Δράσεων ΕΣΠΑ Τριτοβάθμιας Εκπαίδευσης 2017-2023
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Τύπος:	Άρθρο σε περιοδικό
Τίτλος:	Interoperability conflicts in linked open statistical data
Συγγραφέας:	[EL] Καλαμπόκης, Ευάγγελος[EN] Kalampokis, Evangelos [EL] Καραμάνου, Αρετή[EN] Karamanou, Areti [EL] Ταραμπάνης, Κωνσταντίνος[EN] Tarabanis, Konstantinos
Ημερομηνία:	27/07/2019
Περίληψη:	An important part of Open Data is of a statistical nature and describes economic and social indicators monitoring population size, inflation, trade, and employment. Combining and analyzing Open Data from multiple datasets and sources enable the performance of advanced data analytics scenarios that could result in valuable services and data products. However, it is still difficult to discover and combine Open Statistical Data that reside in different data portals. Although Linked Open Statistical Data (LOSD) provide standards and approaches to facilitate combining statistics on the Web, various interoperability challenges still exist. In this paper, we propose an Interoperability Framework for LOSD, comprising definitions of LOSD interoperability conflicts as well as modelling practices currently used by six official open government data portals. Towards this end, we combine a top-down approach that studies interoperability conflicts in the literature with a bottom-up approach that studies the modelling practices of data portals. We define two types of LOSD schema-level conflicts, namely naming conflicts and structural conflicts. Naming conflicts result from using different URIs. Structural conflicts result from different practices of modelling the structure of data cubes. Only two out of the 19 conflicts are currently resolved and 11 can be resolved according to literature.
Γλώσσα:	Αγγλικά
Σελίδες:	27
DOI:	10.3390/info10080249
EISSN:	2078-2489
Θεματική κατηγορία:	[EL] Πληροφοριακά συστήματα[EN] Information Systems
Λέξεις-κλειδιά:	linked open statistical data; data cubes; multidimensional data; interoperability
Κάτοχος πνευματικών δικαιωμάτων:	© 2019 by the authors. Licensee MDPI
Όροι και προϋποθέσεις δικαιωμάτων:	This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/)
Διατίθεται ανοιχτά στην τοποθεσία:	https://www.mdpi.com/2078-2489/10/8/249
Ηλεκτρονική διεύθυνση του τεκμηρίου στον εκδότη:	https://www.mdpi.com/2078-2489/10/8/249
Ηλεκτρονική διεύθυνση περιοδικού:	https://www.mdpi.com/journal/information
Τίτλος πηγής δημοσίευσης:	Information
Τεύχος:	8
Τόμος:	10
Σελίδες τεκμηρίου (στην πηγή):	Article no 249
Σημειώσεις:	(This article belongs to the Special Issue Linked Open Data) : This research is co-financed by Greece and the European Union (European Social Fund—ESF) through the Operational Program “Human Resources Development, Education and Lifelong Learning 2014–2020” in the context of the project “Integrating open statistical data using semantic technologies” (MIS 5007306).
Εμφανίζεται στις συλλογές:	Ερευνητικές ομάδες