LDAC2020 - 8th Linked Data in Architecture and Construction Workshop (17-19 June 2020)

The LDAC workshop series provides a focused overview on technical and applied research on 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.


This year's LDAC workshop takes place online, yet hosted from within Dublin, Ireland, and is locally organized by the ADAPT Centre of Trinity College Dublin. As in the past years, the workshop covers work from three perspectives: research, practical discussions and industry cases. In short, LDAC welcomes stakeholders from research and practice and serves as a common communication platform to advance and innovate the use of linked data in architecture and construction. There will also be a new additional event held on Friday afternoon involving DBPedia, please see programme for more details.

LDAC aims at providing a forum for technical discussion on the topic of handling data in architecture and construction. A large part of the workshop is concerned with the use of (semantic) web technologies. Research is welcomed on the use of ontologies and vocabularies for representing building data, 3D geometry, product data, geospatial data, infrastructure data, HVAC data, sensor data, and so forth.

Additionally, the workshop welcomes work on how to combine these highly semantic datasets with other data sets, which in the case of architecture and construction consist mainly of geometry and sensor data streams. Using different data storage techniques (semantic data stores, time series databases, key-value stores), the purpose of the LDAC workshop is to investigate ways in which data can be combined into a complete and holistic set of available building data. Practical techniques of combining datasets in the current web-based and data-driven world are explored: Internet of Things, Machine Learning, Digital Twins, Building Information Modelling.

Finally, and most importantly, a number of industry cases are invited, presenting interesting ideas, use cases, solutions or experience reports related to practical applications at any stage of construction lifecycle (design, construction, operations, facility management, renovation). Both success stories and discussions of obstacles in the way of adoption of presented technologies are welcome.


The workshop topics include, but are not restricted to the following:

  • Linking building data to other data such as product libraries, GIS data, construction data, or sensor data
  • Applications in infrastructure projects and facilities
  • Utilization of building-related ontologies such as BRICK, IFC, BOT, OMG/FOG, or OPM
  • Development of new ontologies or extension to existing ontologies
  • Mapping and alignment of data or ontologies
  • Using linking to enable interoperation between existing operational systems
  • Enriching systems with new data linked from external sources
  • Making data accessible by publishing it on the Web
  • Implementing services based on Linked Data and Semantic Web technologies
  • Methods, practices and problems to establish links and maintain linksets
  • Semantic query systems and approaches
  • Reasoning, rule systems, machine learning
  • Graph analytics and semantic data lakes
  • Visualization of construction data
  • Security and access control concerns


Due to the Corona pandemic, LDAC is now a fully online event. Because internal costs drop, registration fees are waived. Registration is now free of charge.

  • Summer School + full Workshop package: € 350.00
  • Summer School only: € 300.00
  • Workshop only (full - early bird): € 115.00 (before April 30th)
  • Workshop only (full - late): € 140.00 (after April 30th)
  • Workshop only (1 day): € 90.00
  • Workshop Registration: CLOSED


Juan F. Sequeda

Juan F. Sequeda is the Principal Scientist at data.world. He joined through the acquisition of Capsenta, a company he founded as a spin-off from his research. He holds a PhD in Computer Science from The University of Texas at Austin. Juan is the recipient of the NSF Graduate Research Fellowship, received 2nd Place in the 2013 Semantic Web Challenge for his work on ConstituteProject.org, Best Student Research Paper at the 2014 International Semantic Web Conference and the 2015 Best Transfer and Innovation Project awarded by the Institute for Applied Informatics. Juan is on the Editorial Board of the Journal of Web Semantics, member of multiple program committees (ISWC, ESWC, WWW, AAAI, IJCAI). He was the General Chair of AMW2018, PC chair of ISWC 2017 In-Use track, co-creator of COLD workshop (7 years co-located at ISWC). He has served as a bridge between academia and industry as the current chair of the Property Graph Schema Working Group, member of the Graph Query Languages task force of the Linked Data Benchmark Council (LDBC) and past invited expert member and standards editor at the World Wide Web Consortium (W3C).

Laura Daniele

Dr. Laura Daniele is a senior scientist in the area of ontology engineering and semantic technologies at TNO, The Netherlands Organization for Applied Scientific Research, where she leads the research and standardization activities on semantic interoperability in IoT. She graduated in Electronic Engineering from the University of Cagliari (Italy) and obtained her PhD from the University of Twente (Netherlands). Since 2011 she works at TNO. Her interest is to provide data integration solutions to enable semantic interoperability among stakeholders that need to share data, but use different terminologies, standards and/or heterogeneous platforms. She is the creator of the SAREF ontology for the European Commission, standardized by ETSI, and serves as expert in ETSI SmartM2M. She led several ETSI specialist task forces on the extension of SAREF in various domains. She is currently lead scientist in the H2020 Interconnect large scale pilot, which aims at providing interoperable solutions connecting smart homes, buildings and grids. She is also active in the Alliance for Internet of Things Innovation (AIOTI), where she is the co-leader of the Semantic Interoperability group of WG03 on IoT Standardization. She has authored many international publications and serves as Program Committee member for major conferences and journals in the Semantic Web area.

Ali Intizar
Insight Centre

Dr. Ali Intizar is the head of a research unit for Reasoning, Querying and Real-time Data Analytics at the Data Science Institute, National University of Ireland, Galway. His research interests include Big Data Analytics, Real-Time Data Analytics, Data Integration, Internet/Web of Things (IoT), Deep Learning, Artificial Intelligence, and Knowledge Graphs. He is actively involved in various nationally and internationally funded research projects aimed at providing IoT-enabled adaptive intelligence for smart city and Industry 4.0. Dr. Ali Intizar obtained his Ph.D. (with distinction) from Vienna University of Technology, Austria in 2011.


The LDAC 2020 workshop will slightly differ from its usual set up and program, mainly to accommodate virtual attendance. Key sessions are the plenary sessions with paper presentations. Three such sessions are scheduled, spread over 2 days (17-18 June) in 2-hour time slots. Three keynote sessions are included, each of 1 hour in total, one on each day (17-19 June). Furthermore, break-out sessions are scheduled, in which participants can join parallel virtual rooms for more detailed discussions. These break-out sessions replace the usual technical session, lunch sessions and coffee breaks. Each room will host one of the presenters of the previous session and one LDAC team member. The industry program takes place in three 1h30-2h sessions, spread over 2 days (18-19 June).

Wednesday 17 June - Workshop (all times are given in Central European Summer Time and Eastern Summer Time USA)

Thursday 18 June - Workshop (all times are given in Central European Summer Time) and Eastern Summer Time USA)

Friday 19 June - Workshop (all times are given in Central European Summer Time) and Eastern Summer Time USA)

  • 09:30 - 10:30 CEST, 03:30 - 04:30 EDT: keynote by Ali Intizar, Head of a research unit for Reasoning, Querying and Real-time Data Analytics at the Data Science Institute, National University of Ireland, Galway.
    • History of the Semantic Web, and some words about the future of AI
    • 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 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.
  • 10:30 - 12:30 CEST, 04:30 - 06:30 EDT: industry track session 2 (chair: Ken Enright)
  • 12:30 - 13:30 CEST, 06:30 - 07:30 EDT: Lunch
  • 13:30 - 14:30 CEST, 07:30 - 08:30 EDT: Rapid Ph.D. presentations (5 minutes each) (chair: Ana Roxin)
  • 14:30 - 17:30 CEST, 08:30 - 11:30 EDT: DBpedia Workshop (chair: Beyza Yaman)
  • For more information, please follow this link here
    • DBPedia Opening Session (1 hour)
    • Geospatial & Construction Session (1 hour)
    • Data Quality Session (1 hour)
  • 17:30 - 18:00 CEST, 11:30 - 12:00 EDT: Closing (prize for best paper, Ph.D. and closing statements) (presentation)


As part of the workshop, we invite companies to present interesting cases related to Linked Data in Architecture and Construction. We, therefore, invite you to submit your industry case, presenting an interesting idea, a use case, solution or your general experience reports related to practical applications of linked data at any stage of the construction lifecycle (design, construction, operations, facility management, retrofitting). Both success stories and discussions of obstacles in the way of adoption of presented technologies are welcome.

Please submit a short non-academic abstract where you describe the content of your presentation. Focus on the problem/challenge you were dealing with and how you applied or will apply linked data to overcome it.

The industry track is organised and hosted by NIRAS and ARUP.

Submission of industry proposals is now closed.


Support this event: contact us at ldac2020@linkedbuildingdata.net


Abstract submission deadline: March 13, 2020
Paper submission deadline: March 27, 2020
Notification of acceptance: April 30, 2020
Submission deadline for revised articles: May 25, 2020 (23h59 Hawaii Time - GMT-10)
Registration deadline: May 28, 2020

LDAC Workshop: June 17-19, 2020


Submit a paper of min. 8, max. 14 pages (PDF) at https://easychair.org/conferences/?conf=ldac2020 before the submission deadline (March 27, 2020 - extended). Please follow the LNCS template (Word, LaTeX) and make a submission directly via EasyChair. Submissions will be peer-reviewed by the Program Committee. Accepted submissions will be published as part of a separate volume of the CEUR-WS proceedings.

The paper submission system is now closed.


All submissions are reviewed by at least two members of the Program Committee, which consists of the following members:

  • Aaron Costin
  • Alba Fernández-Izquierdo
  • Álvaro Sicilia
  • Ana-Maria Roxin
  • Anna Wagner
  • Calin Boje
  • Elio Hbeich
  • Felix Larrinaga
  • Freddy Priyatna
  • Georg Ferdinand Schneider
  • Gonçal Costa
  • Iker Esnaola-Gonzalez
  • Jakob Beetz
  • Kris McGlinn
  • Mads Holten Rasmussen
  • María Poveda Villalón
  • Maxime Lefrançois
  • Nandana Mihindukulasooriya
  • Pierre Jehel
  • Pieter Pauwels
  • Raúl García-Castro
  • Rui De Klerk
  • Sebastjan Meza
  • Seppo Törmä
  • Victor Rodríguez-Doncel
  • Walter Terkaj