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Authors: Alexandros Vassiliades 1 ; Nick Bassiliades 1 ; Georgios Meditskos 1 and Kimon Spiliopoulos 2

Affiliations: 1 School of Informatics, Aristotle University of Thessaloniki, Greece ; 2 Quantos Statistics and Information Systems, Athens, Greece

Keyword(s): Ontology, Eurostat, OECD, Knowledge Graphs.

Abstract: The evolution of Knowledge Graphs (KGs) has encouraged developers to create more and more context related KGs. This advance is extremely important because Artificial Intelligence (AI) applications can access domain specific information in a machine understandable format. In this paper, we present the conceptual model and semantics of the OWL ontology developed to capture information about the Eurostat website. The KG also contains some knowledge from the Organisation for Economic Co-operation and Development (OECD) website. We also describe how we constructed the ontology schema in order to capture all the data in Eurostat and some of the data in OECD, such as, articles, datasets, and internal connections between them, among others. Moreover, we show how we populated the KG with an automated process, resulting into a KG with more than 820K triples.

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Paper citation in several formats:
Vassiliades, A.; Bassiliades, N.; Meditskos, G. and Spiliopoulos, K. (2022). Building Eurostat Knowledge Graph. In Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2022) - KEOD; ISBN 978-989-758-614-9; ISSN 2184-3228, SciTePress, pages 128-135. DOI: 10.5220/0011527100003335

@conference{keod22,
author={Alexandros Vassiliades. and Nick Bassiliades. and Georgios Meditskos. and Kimon Spiliopoulos.},
title={Building Eurostat Knowledge Graph},
booktitle={Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2022) - KEOD},
year={2022},
pages={128-135},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011527100003335},
isbn={978-989-758-614-9},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2022) - KEOD
TI - Building Eurostat Knowledge Graph
SN - 978-989-758-614-9
IS - 2184-3228
AU - Vassiliades, A.
AU - Bassiliades, N.
AU - Meditskos, G.
AU - Spiliopoulos, K.
PY - 2022
SP - 128
EP - 135
DO - 10.5220/0011527100003335
PB - SciTePress

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