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The RealEstateCore Ontology
Jönköping University, Tekniska Högskolan, JTH, Avdelningen för datavetenskap, 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 (engelsk)Inngår i: 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, s. 130-145Konferansepaper, Publicerat paper (Fagfellevurdert)
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.

sted, utgiver, år, opplag, sider
Cham: Springer, 2019. s. 130-145
Serie
Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349 ; 11778
Emneord [en]
Ontology; Smart Buildings; Building automation; IoT; Energy optimization; Space analytics
HSV kategori
Identifikatorer
URN: urn:nbn:se:hj:diva-46606DOI: 10.1007/978-3-030-30796-7_9ISI: 000521421900009Scopus ID: 2-s2.0-85081083759ISBN: 978-3-030-30792-9 (tryckt)ISBN: 978-3-030-30793-6 (digital)OAI: oai:DiVA.org:hj-46606DiVA, id: diva2:1362356
Konferanse
18th International Semantic Web Conference, Auckland, New Zealand, October 26–30, 2019
Tilgjengelig fra: 2019-10-18 Laget: 2019-10-18 Sist oppdatert: 2025-10-13bibliografisk kontrollert

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