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Ontology-Based Construction Inspection Planning: A Case Study of Thermal Building Insulation

  • Sebastian Seiß
  • Markus Boden
  • Jürgen Melzner
  • Yuan Zheng
  • Delval Thibaut
  • Rayan El Chamaa

Poor construction quality is one of the most significant challenges for the construction industry. However, failures can be avoided or minimized by inspections based on detailed quality inspection plans as a part of quality assurance. Therefore, structured and project-specific planning of inspection plans is required to provide inspectors with the right information. Nevertheless, inspection planning is mainly manual, dependent on the individual’s experience and high level of effort. As a result, inspection planning is often neglected and limited to providing general checklists that often lack semantically rich descriptions and are unspecific concerning individual project requirements. Furthermore, proper planning of inspections requires multiple information sources, such as building design, schedules, contractual and supplier guidelines, and standards, all of which must be provided or linked via an information model. Current research lacks an adequate formalized knowledge model to provide the knowledge-driven inspection planning process with the necessary domain knowledge to support inspection planning with heterogeneous information defined in isolated systems. Therefore, this paper extends the Ontology for Construction Quality Assurance (OCQA) with the OCQA-Thermal Insulation (OCQA-TI) to formalize thermal insulation inspection planning knowledge. The OCQA offers a new linked data model that provides explicit knowledge of quality inspection planning. The development of the OCQA-TI follows the Linked Open Terms (LOT) methodology and is implemented using the Web Ontology Language (OWL). The proposed ontology is evaluated using various approaches, including automatic consistency checking, answering competency questions, and criteria-based evaluation. The results indicate that the OCQA-TI can provide inspectors with relevant inspection planning knowledge and integrate various related information streams, thus providing a more comprehensive and efficient approach to insulation inspection planning. The functionality of OCQA-TI enables the fulfillment of increased sustainability and energy efficiency requirements by providing insulation inspection knowledge

  • Keywords:
  • semantic web,
  • building insulation,
  • ontology,
  • quality assurance in construction,
  • inspection planning,
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Sebastian Seiß

Bauhaus-University Weimar, Germany - ORCID: 0000-0001-5808-695X

Markus Boden

Bauhaus-University Weimar, Germany

Jürgen Melzner

Bauhaus-University Weimar, Germany - ORCID: 0000-0002-6435-0283

Yuan Zheng

Aalto University, Finland - ORCID: 0000-0002-9845-1138

Delval Thibaut

CSTB, France

Rayan El Chamaa

CSTB, France

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  • Publication Year: 2023
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  • Publication Year: 2023

Chapter Information

Chapter Title

Ontology-Based Construction Inspection Planning: A Case Study of Thermal Building Insulation

Authors

Sebastian Seiß, Markus Boden, Jürgen Melzner, Yuan Zheng, Delval Thibaut, Rayan El Chamaa

DOI

10.36253/979-12-215-0289-3.82

Peer Reviewed

Publication Year

2023

Copyright Information

© 2023 Author(s)

Content License

CC BY-NC 4.0

Metadata License

CC0 1.0

Bibliographic Information

Book Title

CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality

Book Subtitle

Managing the Digital Transformation of Construction Industry

Editors

Pietro Capone, Vito Getuli, Farzad Pour Rahimian, Nashwan Dawood, Alessandro Bruttini, Tommaso Sorbi

Peer Reviewed

Publication Year

2023

Copyright Information

© 2023 Author(s)

Content License

CC BY-NC 4.0

Metadata License

CC0 1.0

Publisher Name

Firenze University Press

DOI

10.36253/979-12-215-0289-3

eISBN (pdf)

979-12-215-0289-3

eISBN (xml)

979-12-215-0257-2

Series Title

Proceedings e report

Series ISSN

2704-601X

Series E-ISSN

2704-5846

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