Metadata Schema Generation for Data-driven Smart Buildings

Lasitha Chamari, Joep van der Weijden, Lolke Boonstra, Stefan Hoekstra, Ekaterina Petrova, Pieter Pauwels

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (Scopus)
112 Downloads (Pure)

Abstract

A smart building is a combination of advanced information systems originating from different domains. Domains such as design and construction, maintenance, energy management, automation & control have complex yet important relationships, and ensuring their connectivity is crucial for building operations. Semantic web technologies can be used to model and link these domains and their relationships using domain ontologies. To that end, there are a number of smart building ontologies that are available in each domain. However, the process of generating a metadata schema by using those ontologies for a given building is not investigated adequately. Further, such tools that generate those metadata schemas are rare. Therefore, this study presents a semi-automatic metadata schema generator using an ontology database and a text search engine. The proposed approach is applied to a campus building. Building Automation System metadata was used in the metadata schema generator. Finally, this study shows how the generated metadata scheme can be used to efficiently query and visualize time-series data for developing data-driven smart building applications.
Original languageEnglish
Title of host publicationProceedings of the 11th Linked Data in Architecture and Construction Workshop
PublisherCEUR-WS.org
Pages139-150
Number of pages12
Publication statusPublished - 30 Mar 2023
Event11th Linked Data in Architecture and Construction Workshop, LDAC 2023 - Matera, Italy
Duration: 15 Jul 202316 Jul 2023
Conference number: 11
https://linkedbuildingdata.net/ldac2023/

Publication series

NameCEUR Workshop Proceedings
Volume3633
ISSN (Print)1613-0073

Conference

Conference11th Linked Data in Architecture and Construction Workshop, LDAC 2023
Abbreviated titleLDAC 2023
Country/TerritoryItaly
CityMatera
Period15/07/2316/07/23
Internet address

Bibliographical note

Publisher Copyright:
© 2023 Copyright for this paper by its authors.

Keywords

  • Brick ontology
  • Building Management Systems
  • Linked Data
  • Metadata Schemes
  • Semantic Web

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