Sub-project D02 – RAUMLINK goes Linked Data in Architecture & Construction (LDAC) Summer School and Workshop 2024!
At this year's Linked Data in Architecture & Construction (LDAC) workshop at the Ruhr University Bochum, Oliver Schulz and Anne Göbels presented their findings from their work on the SPP 100+ project. The LDAC is an international conference focusing on technical and applied research on the use of Linked Data and Semantic Web technologies in construction and brings together research, industry, and standardization bodies from the construction and IT sectors (https://linkedbuildingdata.net/ldac2024/).
In addition to the conference, a summer school took place in advance, which offered interested participants an introduction to the principles of linked building data and semantic web technologies (https://linkedbuildingdata.net/ldac2024/summerschool/). Within three days, they were introduced to the topic through lectures and hands-on exercises, and their new knowledge was directly transferred to practical application in a hackathon challenge.
In this year's Summer School, Oliver Schulz taught participants about the possibilities of spatial queries using semantic web technologies, which we have tested and further developed within the Raumlink project. Anne Göbels introduced the use of Linked Building Data for processing existing maintenance data, which is also used in the SPP 100+ project. Prof. Dr. Jakob Beetz also introduced the possibility of the interaction between linked data and large language models (LLMs) (https://github.com/SSoLDAC2024 ).



At the LDAC conference, two papers were presented that were developed as part of the SPP 100+ research program. Anne Göbels gave an insight into the "Relative Location Ontology" she created, enabling existing bridge maintenance datasets to be displayed and queried spatially without having to rely on externally modelled bridge models (https://linkedbuildingdata.net/ldac2024/files/papers/LDAC2024_Camera_9.pdf).
Oliver Schulz presented his research on harmonizing Common Data Environment (CDE) APIs with the principles of Linked Building Data. This work serves as a basis for enabling CDEs to establish spatial relationships between heterogeneous building data (https://linkedbuildingdata.net/ldac2024/files/papers/LDAC2024_Camera_10.pdf).