Tonev, Kiril; Kappe, Simon; Krahtova, Preslava; Wicaksono, Hendro; Ovtcharova, Jivka District-Scale Data Integration by Leveraging Semantic Web Technologies: a Case in Smart Cities Book Chapter Christophe Debruyne Hervé Panetto, Georg Weichhart Peter Bollen Ioana Ciuciu Maria-Esther Vidal Robert Meersman (Ed.): pp. 289-292, Springer, 2018, ISBN: 9783319738055. Abstract | Links | BibTeX | Tags: building energy simulation, ontology alignment, semantic data integration, smart cities @inbook{Tonev2018,
title = {District-Scale Data Integration by Leveraging Semantic Web Technologies: a Case in Smart Cities},
author = {Kiril Tonev and Simon Kappe and Preslava Krahtova and Hendro Wicaksono and Jivka Ovtcharova},
editor = {Christophe Debruyne, Hervé Panetto, Georg Weichhart, Peter Bollen, Ioana Ciuciu, Maria-Esther Vidal, Robert Meersman},
url = {https://www.springer.com/us/book/9783319738048},
isbn = {9783319738055},
year = {2018},
date = {2018-03-04},
pages = {289-292},
publisher = {Springer},
abstract = {Technologies of the Semantic Web stack promise to alleviate some of the challenges related to data integration on a massive scale and high level heterogenity. Thus paper explores their application in the smart cities domain with a focus on energy efficient districts. We develop an ontology grounded in several well-established vocabularies to leverage their shared semantics and facilitate data interoperability and we apply the developed ontology to integrate state-of-the-art energy simulation facilities into a general district-level monitoring framework.},
keywords = {building energy simulation, ontology alignment, semantic data integration, smart cities},
pubstate = {published},
tppubtype = {inbook}
}
Technologies of the Semantic Web stack promise to alleviate some of the challenges related to data integration on a massive scale and high level heterogenity. Thus paper explores their application in the smart cities domain with a focus on energy efficient districts. We develop an ontology grounded in several well-established vocabularies to leverage their shared semantics and facilitate data interoperability and we apply the developed ontology to integrate state-of-the-art energy simulation facilities into a general district-level monitoring framework. |