2nd Workshop On Computing Techniques For Spatio-Temporal Data in
Archaeology And Cultural Heritage

The workshop will be held at Melbourne, Australia, on August 28, 2018 in conjunction with GIScience 2018 (10th International Conference on Geographical Information Science).


Archaeological data, and more in general cultural heritage information, are characterized by both spatial and temporal dimensions that are often related to each other and are of particular interest for supporting the interpretation process that allows achieving new knowledge about ancient times.

For this reason, several research works proposed attempts to develop new information management techniques, some of them inherit directly from geographical information science. However, cultural heritage and archaeology still require a tailored support to:

  • the collection of spatio-temporal data and their effective representation for enhancing interoperability, especially with the rise of 3D acquisition techniques that involves big data characteristics;
  • the processing of raw data in order to identify artifacts and define their allocation in space and time, in relation with ontological developments;
  • the reconstruction of ancient structures (buildings, walls, castle, etc.) or their temporal evolution, based on deep learning process allowing automatic reconstruction, segmentation, complex objects identification;
  •  the integrated access and querying of the collected data in different formats, structures, data models

The aim of the workshop is to bring together researches of the fields of spatial information science, knowledge representation, knowledge discovery to share their research results in order to draw the new incoming challenges in terms of archeological and cultural heritage spatial information management applications.


This exploratory workshop deals with a hot topic in term of spatio-temporal information management. Organizers will pay a particular attention to presentation with working prototypes and live results presentation.

Knowledge representation

  • Modeling of spatio-temporal data in archaeology and cultural heritage
  • Techniques for supporting interoperability of spatio-temporal data
  • 3D digital artifact capture, representation and manipulation
  • Workflow design for supporting the archaeological interpretation process

Knowledge discovery

  • Analytic tools to assist scholars’ research on archaeological data
  • Tools for reconstruction and processing of spatio-temporal evolution
  • Spatial temporal data mining on spatio-temporal data in archaeology
  • Machine learning techniques applied to archaeological data