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https://ceur-ws.org/Vol-2636/preface.pdf
Proceedings of the 8th Linked Data in Architecture and Construction Workshop - LDAC2020
LDAC2020
8th Linked Data in Architecture and
Construction Workshop
Proceedings of the 8th Linked Data in
Architecture and Construction Workshop
(LDAC 2020)
Dublin, June 17th – 19th 2020
María Poveda-Villalón, Ana Roxin, Kris McGlinn, Pieter Pauwels
(eds)
Copyright © LDAC2020 for this preface by its authors. Use permitted under
Creative Commons License Attribution 4.0 International (CC BY 4.0).
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Proceedings of the 8th Linked Data in Architecture and Construction Workshop - LDAC2020
With the support of:
Copyright © 2020 for the individual papers by the papers' authors.
Copying permitted for private and academic purposes. This volume is
published and copyrighted by its editors.
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Proceedings of the 8th Linked Data in Architecture and Construction Workshop - LDAC2020
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, coordinate efforts, gather
stakeholders, and elaborate use cases.
We are pleased to collect in this volume the papers that were submitted
and presented during the 8th Linked Data in Architecture and
Construction Workshop. The workshop took place online, hosted from
Trinity College Dublin, from the 17th until the 19th of June 2020.
During these days, the workshop attendees attended the presentations
of eleven peer reviewed paper submissions in the proceedings.
Furthermore, the workshop included a number of break-out sessions,
which replaced the technical session. A short PhD session took place
on 19th of June, as well as 10 industry presentations.
Finally, the workshop also included three inspiring invited keynotes:
● “The Socio-technical Phenomena of Data Integration and
Knowledge Graphs” by Juan Sequeda (data.world): Data
Integration has been an active area of computer science research
for over two decades. A modern manifestation is as Knowledge
Graphs which integrates not just data but also knowledge at scale.
Tasks such as schema and ontology matching, data virtualization,
etc., are fundamental in the data integration process. Research
focus has been on studying this phenomena from a technical
point of view (algorithms and systems) with the ultimate goal of
automating the task of integrating data. In the process of applying
scientific results to real world enterprise data integration
scenarios to design and build Knowledge Graphs from enterprise
databases, we have experienced numerous obstacles. In this talk,
I will share insights about these obstacles. I will argue that we
need to think outside of a technical box and further study the
phenomena of data integration with a human-centric lens: from a
socio-technical point of view.
● “The Smart Appliances REference Ontology (SAREF), its
development and its application” by Laura Daniele (TNO): In
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Proceedings of the 8th Linked Data in Architecture and Construction Workshop - LDAC2020
this talk I will take you into a journey that started in 2014, when
the European Commission launched the first initiative to build a
common ontology in close collaboration with the smart
appliances industry, which resulted into the creation of the Smart
Appliances REFerence ontology (SAREF). Six years later,
SAREF is a series of technical specifications published by the
European Telecommunication Standardization Institute (ETSI),
consisting of a modular framework that comprises a generic core
ontology for IoT and 10 domain-specific extensions, including
SAREF for Energy, Buildings and Cities, which are of particular
interest for the LDAC community. The SAREF framework is
maintained and evolved by experts from several European
organizations that successfully collaborate with each other and
can count on the continuous support of ETSI and the European
Commission. One of the latest supported initiatives is the
development of an open portal for the SAREF community and
industry stakeholders, so that they can contribute directly to the
SAREF evolution. On the practical side, the recently started
H2020 Interconnect Large Scale Pilot uses SAREF and its
extensions as basis to enable interoperable solutions connecting
smart homes, buildings and grids in various pilots located in
seven different countries in Europe. During the talk I will share
with you the lessons learned during this journey and the
challenges ahead, addressing questions and curiosities, like what
makes SAREF a successful story, how to keep an ontology
relevant to the industry and its community of users, how to
consistently maintain and evolve extensions in various domains,
but also more specific topics for the LDAC community, such as
how to model buildings and different domains related to
buildings, how to link SAREF to other domains, and what are the
challenges when concretely using the ontology to develop large
scale real applications, especially when going across-domain like
the Interconnect project aims to do when combining the different
domains of smart homes, buildings and grids.
● “History of the Semantic Web, and some words about the future
of AI” by Ali Intizar (Insight Centre): Due to the rapid
advancements in the sensor technologies and IoT, we are
witnessing a rapid growth in the use of sensors and relevant IoT
applications. A very large number of sensors and IoT devices are
in place in our surroundings which keep sensing dynamic
contextual information. A true potential of the wide-spread of
IoT devices can only be realized by designing and deploying a
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Proceedings of the 8th Linked Data in Architecture and Construction Workshop - LDAC2020
large number of smart IoT applications which can provide
insights on the data collected from IoT devices and support
decision making by converting raw sensor data into actionable
knowledge. However, the process of getting value from sensor
data streams and converting these raw sensor values into
actionable knowledge requires extensive efforts from IoT
application developers and domain experts. In this talk/tutorial,
we will discuss various approaches for designing intelligent IoT
applications and building real-time data analytics pipeline. We
will present a common framework to design and build data
analytics based IoT applications. We will discuss different
challenges at each of the data processing layer of IoT data
analytics pipeline and how a combination of modern
technologies such as data analytics (machine/deep learning
algorithms), semantic Web, Linked Data and AI can help address
these challenges. A few example use-cases from smart cities,
Industry 4.0 and construction domains with emphasis on digital
twins will be presented in detail to demonstrate the utilisation of
real-time IoT data analytics pipeline for building intelligent IoT
applications.
Acknowledgments
We would like to thank the authors and presenters for their qualitative
contributions, the Programme Committee members who reviewed the
papers presented in this volume, the keynote speakers Juan Sequeda
(data.world), Laura Daniele (TNO) and Ali Intizar (Insight Center)
for their availability and providing such inspiring talks, and especially
Dr. Kris McGlinn and the entire organisational team at Trinity College
Dublin and ADAPT who managed to organise this event fully online
and thereby enabled an inspiring week of linked data talks for the built
environment.
Programme Committee
● Aaron Costin (Universidad de Florida, Florida, US)
● Alba Fernández-Izquierdo (Universidad Politécnica de Madrid, Spain)
● Álvaro Sicilia (La Salle Barcelona, Spain)
● Ana Roxin (Univ. Bourgogne Franche-Comté, France)
● Anna Wagner (TU Darmstadt, Germany)
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Proceedings of the 8th Linked Data in Architecture and Construction Workshop - LDAC2020
● Calin Boje (Luxembourg Institute of Science and Technology,
Luxembourg)
● Elio Hbeich (Univ. Bourgogne Franche-Comté / CSTB, France)
● Felix Larrinaga (Mondragon University, Spain)
● Freddy Priyatna (Independent researcher)
● Georg Ferdinand Schneider (Fraunhofer, Germany)
● Gonçal Costa (La Salle Barcelona, Spain)
● Iker Esnaola-Gonzalez (Tekniker, Spain)
● Jakob Beetz (RWTH Aachen, Germany)
● Kris McGlinn (Trinity College Dublin, ADAPT, Ireland)
● Mads Holten Rasmussen (NIRAS, Denmark)
● María Poveda-Villalón (Universidad Politécnica de Madrid, Spain)
● Maxime Lefrançois (Ecole des Mines de Saint-Etienne, France)
● Nandana Mihindukulasooriya (MIT-IBM Watson AI Lab, Cambridge,
USA)
● Pierre Jehel (Université Paris-Saclay, CentraleSupélec, France)
● Pieter Pauwels (Eindhoven University of Technology, Netherlands)
● Raúl García-Castro (Universidad Politécnica de Madrid, Spain)
● Rui De Klerk (University of Lisbon, Portugal)
● Sebastjan Meža (Slovenian National Building and Civil Engineering
Institute, Slovenia)
● Seppo Törmä (VisuaLynk, Finland)
● Victor Rodríguez-Doncel (Universidad Politécnica de Madrid, Spain)
● Walter Terkaj (CNR-STIIMA, Italy)
Local Committee
● Kris McGlinn (ADAPT, Trinity College Dublin, Ireland)
● Prof. Markus Helfert (University of Maynooth, Ireland)
● Prof. Declan O'Sullivan (ADAPT, Trinity College Dublin)
Organising Committee
● Ana Roxin (Univ. Bourgogne Franche-Comté, France)
● Anna Wagner (TU Darmstadt, Germany)
● Jakob Beetz (RWTH Aachen, Germany)
● Kris McGlinn (ADAPT, Trinity College Dublin, Ireland)
● María Poveda-Villalón (Universidad Politécnica de Madrid, Spain)
● Pieter Pauwels (Eindhoven University of Technology, Netherlands)
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Proceedings of the 8th Linked Data in Architecture and Construction Workshop - LDAC2020
Table of contents
From obXML to the OP Ontology: Developing a Semantic Model for
Occupancy Profile
Serge Chavez-Feria, Giorgos Giannakis, Raúl García-Castro, and María
Poveda-Villalón
………………………………………………………………………. 9 - 22
Linked Data for Smart Homes: Comparing RDF and Labeled Property
Graphs
Alex J. A. Donkers, Dujuan Yang, and Nico Baken
………………………………………………………………………. 23 - 36
Towards defining Data Usage Restrictions in the Built Environment
Gonzalo Gil and Iker Esnaola-Gonzalez
………………………………………………………………………. 37 - 49
Design and integration of the project-specific ontology for data analytics
support
Miloš Šipetić, Reinhard Jentsch, Judit Aizpuru, and Jan Kurzidim
………………………………………………………………………. 50 - 63
A GIS-based Ontology for Representing the Surrounding Environment of
Buildings to Support Building Renovation
Maryam Daneshfar, Timo Hartmann, and Jochen Rabe
………………………………………………………………………. 64 - 76
Integration of BIM-related bridge information in an ontological
knowledgebase
Al-Hakam Hamdan and Raimar J. Scherer
………………………………………………………………………. 77 – 90
Validation of IfcOWL datasets using SHACL
Sander Stolk and Kris McGlinn
………………………………………………………………………. 91 - 104
ifcOWL-DfMA a new ontology for the offsite construction domain
Edlira Vakaj, Franco Cheung, Abdel-Rahman Tawil, Panagiotis Patlakas, and
Kudirat Alyania
…………………………………………………………………… 105 – 117
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Proceedings of the 8th Linked Data in Architecture and Construction Workshop - LDAC2020
Pattern-based access control in a decentralised collaboration environment
Jeroen Werbrouck, Ruben Taelman, Ruben Verborgh, Pieter Pauwels, Jakob
Beetz, and Erik Mannens
……………………………………………………………………. 118 - 131
Common Data Environments for the Information Container for linked
Document Delivery
Madhumitha Senthilvel, Jyrki Oraskari, and Jakob Beetz
……………………………………………………………………. 132 - 145
Linking BIM and GIS Standard Ontologies with Linked Data
Elio Hbeich and Ana Roxin
……………………………………………………………….……. 146 - 159
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