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https://ceur-ws.org/Vol-3633/preface.pdf
Proceedings of the 11th Linked Data in Architecture and Construction Workshop – LDAC 2023
LDAC2023
11th Linked Data in Architecture and
Construction Workshop
Proceedings of the 11th Linked Data in
Architecture and Construction Workshop
(LDAC 2023)
Matera, Italy, June 15-16, 2023
Walter Terkaj, María Poveda-Villalón, Pieter Pauwels
(eds)
© 2023 Copyright for this paper by its authors.
Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
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CEUR Workshop Proceedings (CEUR-WS.org)
CEUR
ceur-ws.org
Workshop ISSN 1613-0073
Proceedings
Proceedings of the 11th Linked Data in Architecture and Construction Workshop – LDAC 2023
Support
Diamond sponsors:
Gold sponsors:
Silver sponsors:
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Proceedings of the 11th Linked Data in Architecture and Construction Workshop – LDAC 2023
Organisational support:
3
Proceedings of the 11th Linked Data in Architecture and Construction Workshop – LDAC 2023
Preface
The LDAC workshop series provides a focused overview on technical
and applied research regarding the usage of semantic web, linked data
and web of data technologies for architecture and construction (design,
engineering, construction, operation, etc.). The workshop aims at
gathering researchers, industry stakeholders, and standardization bodies
of the broader Linked Building Data (LBD) community. The aim of the
workshop is to present current developments in research and
development, coordinate efforts, gather stakeholders, and extend
industry uptake and collaboration.
We are pleased to collect in this volume the papers that were submitted
and presented during the 11th Linked Data in Architecture and
Construction (LDAC) Workshop. The workshop took place on 15 and
June 2023, as a stand-alone event in Matera, Italy. The workshop was
preceded by an extensive 3-day summer school. The workshop hosted
fifteen full papers, 3 short papers, and 8 industry submissions. Full and
short papers were reviewed by the members in the program committee,
and industry submissions were reviewed by the LDAC team. All
submissions, including industry submissions can be found in these
proceedings.
The workshop also included three excellent keynote on three diverse
topics, one of them hosted during the SSoLDAC Summer School. The
first keynote, by Michela Mortara (CNR – IMATI Genova) was titled
“Shape and Semantics for urban modelling – the role of geometry in
city digital twins”. This keynote talk described an overview of computer
graphics approaches to construct a digital 3D representation of an urban
context from real data. This includes the identification of salient
elements and linking semantic information to their geometric
counterparts. Examples of use cases that the geometric layer of the
urban digital twin can answer to were discussed from ongoing projects
with Matera and Catania.
The second keynote was given by Danh Le Phuoc (TU Berlin), with the
title “Connect Sensors to Perception via Semantic Stream”. In this talk,
Prof. Le Phuoc presented how to use semantic streams to connect
sensory data to perception systems for robots, drones or cars to
understand their surroundings, e.g roads, buildings and physical
objects. An explanation is given of how semantic and episodic
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Proceedings of the 11th Linked Data in Architecture and Construction Workshop – LDAC 2023
memories are represented as semantic and stream graphs to integrate
and fuse various kinds of sensory observations, e.g, images, videos and
point clouds, into interlinked sub-symbolic and symbolic data streams
at different levels of semantic abstractions.
The third and last keynote was presented by Prof. Francesca Lisi
(Università degli Studi di Bari "Aldo Moro"), with the title “Data-
driven AI vs. Model-driven AI: Which one should we trust more?”.
Artificial Intelligence (AI) is currently gaining an increasing attention,
also from the media, thanks to an impressive number of successful
applications in a wide variety of domains. This keynote talk discusses
there recent developments in AI, showing also their limits, in particular
the presence of bias - the presence of undesirable prejudices and
stereotypes in the data - and where it comes from. In extension, an
overview is given of some of the ethical guidelines for a trustworthy AI
that were recently defined by the AI High-level Expert Group of the
European Commission. It is expected that the most interesting AI
applications are yet to come, and will rely on the combination of data-
driven and model-driven approaches.
Acknowledgments
This event is only possible by dedicated and committed support from
several organisations and people. In particular, we thank the authors and
presenters for their high-quality contributions, the Program Committee
who reviewed the papers presented in this volume, the keynote speakers
for their excellent contributions, and the local organisers, in particular
Walter Terkaj and Sara Arlati, for all organizational efforts.
Special thanks go to the sponsors of this workshop, with bSDD and
Pallas as diamond sponsors, Neanex, OntoText, AEC3, Building
Digital Twin Association (BDTA), BimConnected, Amberg Group, and
Tennet as gold sponsors, and Basilicata Creativa as silver sponsor.
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Proceedings of the 11th Linked Data in Architecture and Construction Workshop – LDAC 2023
Program Committee
● Jakob Beetz, RWTH Aachen, Germany
● Calin Boje, Luxembourg Institute of Science and Technology,
Luxembourg
● Mathias Bonduel, Neanex Antwerp, Belgium
● Nicolas Bus, Centre Scientifique et Technique du Bâtiment,
France
● Andrea Cimmino, Technical University of Madrid, Spain
● Goncal Costa, Ramon Llull University, Barcelona, Spain
● Aaron Costin, University of Florida, United States of America
● Alex Donkers, Eindhoven University of Technology,
Netherlands
● Diellza Elshani, University of Stuttgart, Germany
● Paola Espinoza Arias, Universidad Politécnica de Madrid,
Spain
● Raúl García-Castro, Technical University of Madrid, Spain
● Philipp Hagedorn, Ruhr-University Bochum, Germany
● Al-Hakam Hamdan, A+S Consult GmbH, Germany
● Cheong Hyunmin, Autodesk Research, Canada
● Felix Larrinaga Barrenechea, Mondragon University, Spain
● Maxime Lefrancois, École des Mines de Saint-Étienne, France
● Dimitris Mavrokapnidis, University College London, United
Kingdom
● Thamer Mecharnia, École des Mines de Saint-Étienne, France
● Nandana Mihindukulasooriya, IBM Research AI, Ireland
● Claudio Mirarchi, Politecnico di Milano, Italy
● Jyrki Oraskari, RWTH Aachen, Germany
● Pieter Pauwels, Eindhoven University of Technology,
Netherlands
● Ekaterina Petrova, Eindhoven University of Technology,
Netherlands
● María Poveda-Villalón, Technical University of Madrid, Spain
● Dimitrios Rovas, University College London, United Kingdom
● Ana Roxin, University of Burgundy, Dijon, France
● Georg Schneider, Schaeffler Technologies AG, Germany
● Oliver Schulz, RWTH Aachen, Germany
● Madhumitha Senthilvel, RWTH Aachen, Germany
● Alvaro Sicilia, Ramon Llull University, Barcelona, Spain
● Daniele Spoladore, Consiglio Nazionale delle Ricerche, Italy
● Ranjith Soman, ETH Zürich, Switzerland
● Walter Terkaj, Consiglio Nazionale delle Ricerche, Italy
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Proceedings of the 11th Linked Data in Architecture and Construction Workshop – LDAC 2023
● Edlira Vakaj, Birmingham City University, United Kingdom
● Jeroen Werbrouck, Ghent University, Belgium
Local Organising Committee
● Walter Terkaj, Consiglio Nazionale delle Ricerche (CNR), Italy
● Sara Arlati, Consiglio Nazionale delle Ricerche (CNR), Italy
● Lucio Tommaso de Paolis, Università del Salento, Italy
● Ugo Erra, Università della Basilicata, Italy
LDAC Committee
● Walter Terkaj, Consiglio Nazionale delle Ricerche, Italy
● María Poveda-Villalón, Technical University of Madrid, Spain
● Pieter Pauwels, Eindhoven University of Technology,
Netherlands
● Alex Donkers, Eindhoven University of Technology,
Netherlands
● Jeroen Werbrouck, Ghent University, Belgium
● Madhumitha Senthilvel, RWTH Aachen, Germany
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Proceedings of the 11th Linked Data in Architecture and Construction Workshop – LDAC 2023
Table of contents
Regular Papers
Linked data for the life cycle assessment of built assets
Calin Boje, Sylvain Kubicki, Tomas Navarrete Gutierrez, Thomas Beach
11 – 22
Lessons Learned from Designing and Using bcfOWL
Oliver Schulz, Jyrki Oraskari, Jakob Beetz 23 – 34
Towards usable ICDD containers for ontology-driven data linking and link
validation
Philipp Hagedorn, Madhumita Senthilvel , Hans Schevers, Lucas Verhelst
35 – 46
dstv: An ontology-based extension of the DSTV-NC standard for the use of
linked data in the automation of steel construction
Lukas Kirner, Jyrki Oraskari, Victoria Jung, Sigrid Brell-Cokcan 47 – 58
Development of a national scale digital twin for domestic building stock
Cathal Hoare, Tareq Alqazzaz, Usman Ali, Shushan Hu, James O'Donnell
59 – 70
Towards a U.S. national bridge and infrastructure data dictionary: an
introduction
Aaron Costin, Marina Muller 71 – 84
Semantic bSDD: improving the GraphQL, JSON and RDF representations of
buildingSmart data dictionary
Vladimir Alexiev, Mihail Radkov, Nataliya Keberle 85 – 97
The semantic link between domain-based BIM models
Wojciech Teclaw, Madsholten Rasmussen, Nathalie Labonnote, Jyrki
Oraskari, Eilif Hjelseth 98 – 109
Making urban energy use more intelligible using semantic digital twins
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Proceedings of the 11th Linked Data in Architecture and Construction Workshop – LDAC 2023
Sander R. de Meij, Alex J.A. Donkers, Dujuan Yang, Matthijs Klepper
110 – 122
Modular knowledge integration for smart building digital twins
Isaac Fatokun, Arun Raveendran Nair, Thamer Mecharnia, Maxime
Lefrançois, Victor Charpenay, Fabien Badeig, Antoine Zimmermann
123 – 138
Metadata schema generation for data-driven smart buildings
Lasitha Chamari, Joep van der Weijden, Lolke Boonstra, Stefan Hoekstra,
Ekaterina Petrova, Pieter Pauwels 139 – 150
Don’t Shoehorn, but Link Compliance Checking Data
Ruben Kruiper, Ioannis Konstas, Alasdair J.G. Gray, Farhad Sadeghineko,
Richard Watson, Bimal Kumar 151 – 163
Validation of building models against legislation using SHACL
Emma Nuyts, Jeroen Werbrouck, Ruben Verstraeten, Louise Deprez
164 – 175
WE-TEST: Leveraging word embeddings and transformers to extract
semantics from building regulations text
Odinakachukwu Okonkwo, Amna Dridi, Edlira Vakaj 176 – 188
Terrestrial laser scanning for surveying and 3D modelling of underground
built heritage: A case study of hypogea in the Sassi of Matera
Nicla Maria Notarangelo, Nicola Capece, Gilda Manfredi, Nicodemo Abate,
Nicola Masini, Aurelia Sole Ugo Erra 189 – 200
Short Papers
Learning partial correlation graph for multivariant sensor data and
detecting sensor communities in smart buildings
Xiang Xie, Manuel Herrera, Tejal Shah, Mohamad Kassem, Philip James
201 – 211
Linked data for a construction big data platform
Davide Simeone 212 – 221
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Proceedings of the 11th Linked Data in Architecture and Construction Workshop – LDAC 2023
Taking stock: a Linked Data inventory of Compliance Checking terms
derived from Building Regulations
Ruben Kruiper, Ioannis Konstas, Alasdair J.G. Gray, Farhad Sadeghineko,
Richard Watson, Bimal Kumar 222 – 237
Abstracts
Asset information management for a communications network in Ireland
Aonghus O’Keeffe, David Torrado 238 – 238
bhOWL: BHoM with semantic web technologies
Alessio Lombardi, Diellza Elshani, Thomas Wortmann, Al Fisher 239 – 239
An open endpoint and framework for the development of linked data for
building energy systems
James Allan, JongGwan An, Reto Fricker, Sascha Stoller, Philipp Heer
240 – 240
Exploring the benefits of semantic web technologies for providing holistic
end of life analysis of civil infrastructure in the Netherlands
Esra Bektas 241 – 241
Graph and graphics: combining two powerhouses into one machine
Philipp Dohmen, Emmanouil Argyris, Markus Färber, Michael Reeßing
242 – 242
Semantic rules for generating SPARQL from semantic mark-up
Nick Nisbet, Zijing Zhang 243 – 243
Implementing and managing mappings for data transformation using SHACL
Rules
Lucas Verhelst 244 – 244
Semantisation of rules for automated compliance checking
Edlira Vakaj, Maxime Lefrançois, Amna Dridi, Thomas Beach, Mohamed
Gaber, Gonçal Costa Jutglar, He Tan 245 – 246
10