@inproceedings{Cuenca2017,
abstract = {Current research evidences an increase of use of Semantic Web technologies within city energy management solutions. Di erent ontologies have been developed in order to improve energy data interoperability. However, these ontologies represent di erent energy domains, with di erent level of detail and using di erent terminology. This heterogeneity leads to an interoperability problem that hinders the full adoption of these ontologies in real scenarios. This paper presents the OEMA (Ontology for Energy Management Applications) ontology network. This ontology is an attempt to unify existing heterogeneous ontologies that represent energy performance and contextual data. The paper describes the OEMA ontology network development process, which has included ontology reuse, ontology engineering and ontology integration activities. The paper also describes the main OEMA ontology network modules.},
author = {Cuenca, Javier and Larrinaga, F{\'{e}}lix and Curry, Edward},
booktitle = {2nd International Workshop on Ontology Modularity, Contextuality, and Evolution (WOMoCoE 2017)},
file = {:Users/ed/Library/Application Support/Mendeley Desktop/Downloaded/Cuenca, Larrinaga, Curry - 2017 - A Unified Semantic Ontology for Energy Management Applications.pdf:pdf},
keywords = {Semantic Web,energy,ontology integration,ontology network},
mendeley-tags = {Semantic Web,energy,ontology integration,ontology network},
pages = {86--97},
title = {{A Unified Semantic Ontology for Energy Management Applications}},
url = {http://www.edwardcurry.org/publications/WOMoCoE_17.pdf},
year = {2017}
}