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.