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 of heterogeneity. This 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.
The original version of this chapter was revised: This chapter was originally positioned in the back matter as a short paper. It has been moved to the main part of the publication. The correction to this chapter is available at https://doi.org/10.1007/978-3-319-73805-5_35
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Acknowledgments
The DAREED project has received funding from the Seventh framework programme of the European Union (EU) under grant agreement 609082.
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Tonev, K., Kappe, S., Krahtova, P., Wicaksono, H., Ovtcharova, J. (2018). District-Scale Data Integration by Leveraging Semantic Web Technologies: A Case in Smart Cities. In: Debruyne, C., et al. On the Move to Meaningful Internet Systems. OTM 2017 Workshops. OTM 2017. Lecture Notes in Computer Science, vol 10697. Springer, Cham. https://doi.org/10.1007/978-3-319-73805-5_31
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DOI: https://doi.org/10.1007/978-3-319-73805-5_31
Publisher Name: Springer, Cham
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