SSoLDAC - 2nd Summer School of Linked Data in Architecture and Construction


Cercedilla, Spain, 6-10 June 2022

ABOUT

This year, the second LDAC Summer School dedicated to the application of semantic web, linked data and web of data technologies in architecture, engineering and construction (AEC) is hosted in Cercedilla, Madrid. Considering the growing interest in these technologies from the AEC industry, this Summer School will provide a starting point for participants that are new to the topic entirely and the opportunity to enhance the understanding and overview of implementations and approaches in the built environment for participants that wish to deepen their knowledge in this field.

The Summer School brings together experts and researchers on this topic and welcomes a broad domain of participants from diverse backgrounds such as computer science, architecture, and engineering. With a mixture of lectures, personal interactions with experts in the field, hands-on exercises and coding challenges, it gives participants the opportunity to explore the possibilities of the semantic web, linked data and web of data technologies for their own research and practice needs in their individual pace and depth.

SSoLDAC 2022 Group Picture

GOALS

The aim of the LDAC Summer School is to introduce participants to the principles of the Semantic Web and potential as well as implemented applications of it in the architecture, engineering and construction domain. It provides an overview of the technology behind it and current trends in ongoing research in this area, focusing on:

  • Learning about the technology, its benefits over other web technologies, and its development workflows in high quality lectures from experts in the field;
  • Gaining experience in designing and querying ontologies and applying them in a practical context in the Summer School’s hands-on coding challenge;
  • Exploring the already existing approaches to describe Linked Building Data and come up with new ideas on how LBD can support your use cases, and innovative solutions to deal with the complexity of the built environment.

REQUIREMENTS

You should attend this Summer School, if you are interested in:

  • New approaches to link building data of different stakeholders and domains via Semantic Web technologies;
  • Generating new information from building, product or infrastructure data;
  • Designing domain-specific ontologies;
  • Aligning domain-specific and generic ontologies;
  • Describing building, product or infrastructure data on the Web;
  • Converting building, product or infrastructure information to linked data;
  • Handling Linked Building Data.

The LDAC Summer School is tailored for:

  • Participants that want to deepen their knowledge about the Semantic Web and its applications in the architecture, engineering and construction domain;
  • Researchers or entrepreneurs that are new to the field (M.Sc. students, PhD students, post-Docs) from various domains, namely:
    • Computer Science
    • Architecture
    • Engineering
    • Infrastructures
  • Industry professionals from the AEC industry looking for innovative solutions to deal with the complexity of the built environment.
LDAC Summer School 2022 Teaching
Although there are no strict requirements for attendance, it is good to know that we expect the following from participants.
  • Since the Summer School will include a hands-on coding challenge, coding experience is highly recommended;
  • Participants should bring their own laptops with the required software already installed, as communicated after registration;
  • It is recommended to have language skills in English, as the Summer School will be held in it;
  • Plenty of motivation and spirit of innovation!

PROGRAMME

The LDAC Summer School will take place at the Residencia Lucas Olazábal in Madrid, Spain, from June 6 to 10, 2022. All days will involve lectures and guided hands-on sessions from 9:00 to 18:00 WEST, followed by the possibility to work on the coding challenge in late-evenings and night hackathons at the same venue with lecturers and tutors available for help.

The LDAC Summer School program follows the below schedule:

schedule

Monday 6 June

  • 17:00 - 22:00: Registration desk and Get together

Tuesday 7 June

Wednesday 8 June

Thursday 9 June

Friday 10 June

  • 09:00 - 10:30: Hackathon: Presentations
    • BIMClean
    • Flavia Andrade Pereira, Pablo Vicente Legazpi, Karen Oliveros Felez
    • Presentation
    • TwinQL - Automated compliance checking using LBD
    • Katja Breitenfelder, Elena Chochanova, Ignacio Huitzil, Eyosias Guyo
    • Presentation
    • Integration of trajectory-based data into 4D BIM Semantic Digital Twin
    • Salvador González Gerpe, Irfan Čustović, Rahel Kebede
    • Presentation
  • 10:30 - 11:00: Coffee Break
  • 11:00 - 12:30: Hackathon: Presentations
    • Beam Me Up - Semantic Enrichment
    • Joe Murphy, Daniel Wiinberg, Eloi Gabaldon, Bob Wakelam
    • Presentation
    • PropUp - Linked Data-based Grouping of Domain-Specific Properties
    • Arghavan Akbarieh, Ahlem Rhayem, Wojciech Teclaw, David Fürstenberg
    • Presentation
    • Comply - Ontology-based completeness & compliance checking
    • Ádám Kovács, Detlev van Loenhout, Diellza Elshani, Dimitris Mavrokapnidis
    • Presentation
    • EnerGraph
    • Conor Shaw, Edgar Alexis Martinez, Francesc Contreras Perez, Rasmus Christiansen
    • Presentation
  • 12:30 - 13:00: Closing session
  • 13:00 - 14:30: Lunch
  • 16:00: Bus to Cercedilla train

CODING CHALLENGE

An integral part of the summer school is the application and strengthening of newly learned knowledge from lectures in practical research work: The coding challenge.

LDAC Summer School 2022

The goal of the challenge is for participants, grouped in interdisciplinary teams, to address and define real world problems. The teams build lightweight applications enabling enrichment, querying and browsing of Linked Building Data sets, cross-domain data exploration and reasoning, generate own small test data sets and formalize existing data sets using adapters.

As a field of study, open data sets are provided as a playground for participants and can be augmented by own data sets. A suite of open-source tools are introduced to perform related tasks and form in combination with the support of the tutors the initial spark create something new.

Coding challenges

The following coding challenges are set up for all participants (groups of 4). Find more information about these challenges in the corresponding GIT repositories:

Prize

Each member of the winning group will be awarded a prize, generously sponsored by:


KEYNOTES

  • Mads Holten Rasmussen
  • (NIRAS)
  • Dimitrios Rovas
  • (University College London)

LECTURERS

  • Jakob Beetz
  • (RWTH Aachen)
  • Andrea Cimmino
  • (Universidad Politécnica de Madrid)
  • Pieter Pauwels
  • (Eindhoven University of Technology)
  • Raúl Garcia Castro
  • (Universidad Politécnica de Madrid)
  • Jeroen Werbrouck
  • (Ghent University)
  • Cathal Hoare
  • (University College Dublin)
  • María Poveda
  • (Universidad Politécnica de Madrid)
  • James O'Donnell
  • (University College Dublin)

REGISTRATION

To enable the Summer School to meet the participants’ individual expectations and ensure a satisfactory staff-student ratio, the Summer School will open for a limited audience of 40 participants (first come, first serve)..

The summer school is fully booked. Registrations are now CLOSED! See you at our next edition!

Price of the Summer School: 650 €
Registration includes all sessions in the programme, meals, accommodation and Gala dinner.
The tentative location for the gala dinner is Segovia.

ORGANISATION

SUPPORT

Diamond sponsors:
Gold sponsors:
Silver sponsors:
Coding challenge award sponsored by:
Organisational support:

VENUE

The Second Summer School of Linked Data in Architecture and Construction will be held at Cercedilla (Madrid), which is a small village in the mountains, near Madrid.

Residencia Lucas Olazábal

The event will take place at the Residencia Lucas Olazábal of Universidad Politécnica de Madrid, which is located in Cercedilla, in the forest of the Sierra de Guadarrama, in a place known as Las Dehesas de Cercedilla, which is 50 km away from Madrid, and 15 km away from Navacerrada.

Going to Cercedilla from Madrid-Barajas airport

The nearest airport is Adolfo Suárez Madrid-Barajas. Once you are in Madrid, the best option to go to Cercedilla is by train. The estimated time of the whole trip (from Adolfo Suárez Madrid-Barajas airport to Cercedilla Residence) is around 2 hours.

Taking the train to Cecerdilla

If you reach to Terminals 1, 2 or 3 in Adolfo Suárez Madrid-Barajas Airport
Go to the metro station and take take line 8 (the pink line on the map) to Nuevos Ministerios statin. Leave the metro station and go to the train station (Cercanías Renfe). Then take line C8B to Cercedilla.

If you reach to Terminal 4 in Adolfo Suárez Madrid-Barajas Airport
Go to the train station and take line C1 to Chamartín. Then take line C8B to Cercedilla.

Getting to the Residence From Cercedilla

The train depot in Cercedilla is 1.5 km away from the Residence. You should take a taxi to get to the residence. Here are numbers for Taxis in Cercedilla:
(+34) 61 980 64 52
(+34) 65 026 30 43
(+34) 61 922 62 72

Furthermore, members of the summer school will be giving directions of how to get a taxi on the train station.

If there is nobody waiting for you at the Cecerdilla train station, please phone the following numbers:
(+34) 91 852 23 78
(+34) 91 858 20 06

Going by car to the Residence

From Madrid, motorway A-6 until the exit El Escorial, Guadarrama. Take direction Guadarrama until crossroads with the old N-6 (it is a crossroads with traffic lights where you can see El Piquio Hotel). Turn left and cross Guadarrama village until Cercedilla indication (it is a road on the right, next to a headquarters). Go straight on road until Cercedilla. When you pass the Cercedilla’s train station, go straight on next crossroads Las Dehesas – La Fuenfría direction. When you arrive to forest information turn right following Residencia Lucas Olazábal UPM direction.