domOS Common Ontology: Web of Things Discovery in Smart Buildings

Amir Laadhar*, Christian Thomsen, Torben Bach Pedersen

*Corresponding author for this work

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

1 Citation (Scopus)

Abstract

According to the 2021 energy efficiency report of the European Union (EU), 75% of the existing buildings in the EU have been assessed as energy-inefficient. Internet of Things (IoT) services are developed to increase energy efficiency in buildings. The W3C recommends the use of the W3C Web of Things (WoT) standard to enable IoT interoperability on the Web. However, the ability to discover IoT devices available in the WoT remains a challenge due to the lack of ontologies integrating WoT Thing Descriptions in smart buildings. We present in this paper the domOS Common Ontology (dCO) to achieve the W3C WoT discovery in smart residential buildings in 5 demonstration sites of the H2020 EU domOS project. This ontology integrates the WoT Thing Description with IoT concepts, i.e. IoT devices and building topology, in order to leverage the W3C WoT Discovery. We made the WoT Discovery implementation available for the community.

Original languageEnglish
Title of host publicationEuropean Semantic Web Conference : ESWC 2022 Satellite Events - Proceedings
EditorsPaul Groth, Anisa Rula, Jodi Schneider, Ilaria Tiddi, Elena Simperl, Panos Alexopoulos, Rinke Hoekstra, Mehwish Alam, Anastasia Dimou, Minna Tamper, Minna Tamper
Number of pages6
PublisherSpringer
Publication date2022
Pages95-100
ISBN (Print)9783031116087
DOIs
Publication statusPublished - 2022
Event19th European Semantic Web Conference, ESWC 2022 - Hersonissos, Greece
Duration: 29 May 20222 Jun 2022

Conference

Conference19th European Semantic Web Conference, ESWC 2022
Country/TerritoryGreece
CityHersonissos
Period29/05/202202/06/2022
SeriesLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13384 LNCS
ISSN0302-9743

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

  • Internet of Things
  • Semantic interoperability
  • Web of Things
  • Web of Things discovery

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