Abstract
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.
Resource Type: Ontology
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Notes
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At Vasakronan, a key REC sponsor and user, a September 2018 inventory of the deployed building automation systems identified more than 10 different archetypes (climate control, access control, fire alarm, elevator control, etc.) and up to 30 different vendors and version combinations—it’s a mess.
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We have used the cpannotationschema:coversRequirements annotation property for this purpose; while it was originally designed to cover CQ requirements on ODPs, we have found no more suitable vocabulary for expressing CQ:s over ontologies.
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owl:equivalentClass, owl:equivalentProperty, rdfs:seeAlso, owl:sameAs, skos:related, etc.
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Hammar, K., Wallin, E.O., Karlberg, P., Hälleberg, D. (2019). The RealEstateCore Ontology. In: Ghidini, C., et al. The Semantic Web – ISWC 2019. ISWC 2019. Lecture Notes in Computer Science(), vol 11779. Springer, Cham. https://doi.org/10.1007/978-3-030-30796-7_9
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