Toward a Solution for an Energy Knowledge Graph

authored by

Dušan Popadić, Enrique Iglesias, Ahmad Sakor, Valentina Janev, Maria Esther Vidal

Abstract

Data integration demands the development of data management techniques to efficiently overcome interoperability issues and provide a harmonized view of both data and their meaning (i.e., metadata). This paper addresses the challenges of energy data management and integration and proposes a process of creating a knowledge graph, motivated by the needs of the stakeholders from Serbia and related to the integration of a large number of different renewable energy sources (RES) with the proprietary SCADA system of the Institute Mihajlo Pupin. The Energy Knowledge Graph (KG) has been built by reusing the energy-based semantic data model and the SDM-RDFizer, an open-source tool and interpreter of the W3C Recommendations Standard R2RML and its RDF Mapping Language (RML) extension. The data connectors implemented by the SDM-RDFizer plan the execution of the mapping rules and loading of the dataset to an RDF triple store to speed up the process of knowledge base creation. The Energy KG has been deployed on a Smart Grid Architecture Model (SGAM)—compliant platform hosted at the Institute Mihajlo Pupin.

Organisation(s)

L3S Research Centre

External Organisation(s)

University of Belgrade
German National Library of Science and Technology (TIB)

Type

Conference contribution

Pages

3-12

No. of pages

10

Publication date

01.04.2023

Publication status

Published

Peer reviewed

Yes

ASJC Scopus subject areas

Industrial and Manufacturing Engineering

Sustainable Development Goals

SDG 7 - Affordable and Clean Energy

Electronic version(s)

https://doi.org/10.1007/978-981-19-7126-6_1 (Access: Closed)