Building Eurostat’s Knowledge Graph

A. Vassiliades, N. Bassiliades, G. Meditskos, K. Spiliopoulos, "Building Eurostat’s Knowledge Graph", Proceedings of the 14th International Conference on Knowledge Engineering and Ontology Development (KEOD 2022), Oct 24-26, 2022, Valetta, Malta, SciTePress, pp. 128-135, 2022.

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.