Institut für Informationsmanagement im Ingenieurwesen (IMI)

District-Scale Data Integration by Leveraging Semantic Web Technologies: a Case in Smart Cities

  • Autor:

    Tonev, Kiril; Kappe, Simon; Krahtova, Preslava; Wicaksono, Hendro; Ovtcharova, Jivka

  • Quelle:

    ODBASE 2017 - The 16th International Conference on Ontologies, DataBases, and Applications of Semantics, Rhodes, Greece, 23-27 Oct 2017

  • Datum: 23.10.2017-27.10.2017
  • Technologies of the Semantic Web stack promise to alleviate some of the challenges related to data integration on a massive scale and high level of heterogeneity. This paper explores their application in the smart cities domain with a focus on energy ecient 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.