Karami, S;
de Almeida, JP;
Ellul, C;
Cardoso, A;
(2024)
Semantic Mapping Analysis of Digital Building LogBook/Passport Models.
In:
Proceedings of the 2024 European Conference on Computing in Construction.
(pp. pp. 308-315).
European Council on Computing in Construction: Chania, Crete, Greece.
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Abstract
A Digital Building LogBook/Passport (DBL/DBP) is a repository for static "as built" and dynamic "Key Performance Indicators (KPIs)" throughout the life cycle of the buildings. This ongoing research uses the semantic mapping approach to analyse and compare the current recommended DBL/DBP models to identify the similarities/ differences between them. The findings of this investigation show that due to the lack of comparison studies on DBL/DBP models in academic literature, the similarity percentage between proposed categories and elements is very low, and a knowledge-based method would be needed that makes the comparison not straightforward. In particular, the lack of metadata caused an increasing uncertainty percentage of elements. The focus of this paper is on assessing the DBL/DBP models (comparison of categories and elements, metadata evaluation), furtherwork is needed to develop an integrated model.
| Type: | Proceedings paper |
|---|---|
| Title: | Semantic Mapping Analysis of Digital Building LogBook/Passport Models |
| Event: | 2024 European Conference on Computing in Construction |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.35490/EC3.2024.227 |
| Publisher version: | http://dx.doi.org/10.35490/ec3.2024.227 |
| Language: | English |
| Additional information: | This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Digital Building Passport, Digital Building LogBook, Semantic mapping, Net zero |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Civil, Environ and Geomatic Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10197854 |
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