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The RealEstateCore Ontology
Jönköping University, School of Engineering, JTH, Computer Science and Informatics, JTH, Jönköping AI Lab (JAIL).ORCID iD: 0000-0001-8767-4136
Idun Real Estate Solutions AB, Stockholm, Sweden.
Idun Real Estate Solutions AB, Stockholm, Sweden.
Akademiska Hus AB, Stockholm, Sweden.
2019 (English)In: The Semantic Web – ISWC 2019: 18th International Semantic Web Conference, Auckland, New Zealand, October 26–30, 2019, Proceedings, Part I / [ed] C. Ghidini, O. Hartig, M. Maleshkova, V. Svátek, I. Cruz, A. Hogan, J. Song, M. Lefrançois & F. Gandon, Cham: Springer, 2019, p. 130-145Conference paper, Published paper (Refereed)
Abstract [en]

Recent developments in data analysis and machine learning support novel data-driven operations optimizations in the real estate industry, enabling new services, improved well-being for tenants, and reduced environmental footprints. The real estate industry is, however, fragmented in terms of systems and data formats. This paper introduces RealEstateCore (REC), an OWL 2 ontology which enables data integration for smart buildings. REC is developed by a consortium including some of the largest real estate companies in northern Europe. It is available under the permissive MIT license, is developed and hosted at GitHub, and is seeing adoption among both its creator companies and other product and service companies in the Nordic real estate market. We present and discuss the ontology’s development drivers and process, its structure, deployments within several companies, and the organization and plan for maintaining and evolving REC in the future.

Place, publisher, year, edition, pages
Cham: Springer, 2019. p. 130-145
Series
Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349 ; 11778
Keywords [en]
Ontology; Smart Buildings; Building automation; IoT; Energy optimization; Space analytics
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:hj:diva-46606DOI: 10.1007/978-3-030-30796-7_9ISBN: 978-3-030-30792-9 (print)ISBN: 978-3-030-30793-6 (electronic)OAI: oai:DiVA.org:hj-46606DiVA, id: diva2:1362356
Conference
18th International Semantic Web Conference, Auckland, New Zealand, October 26–30, 2019
Available from: 2019-10-18 Created: 2019-10-18 Last updated: 2019-10-18Bibliographically approved

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Hammar, Karl

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3031323334353633 of 40
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