Enabling big data collection
The ability to collect, manage, and analyze big data is essential for modern archaeological research. AUTOMATA’s focus on big data collection addresses the historical gap in large-scale archaeological datasets.
The project aims to digitize extensive collections of ceramics, lithics, and other artefacts from various institutions, providing a standardized method for documenting these items. Each artefact’s digitized version includes detailed information about its physical properties, archaeological context, and archaeometric data, which is then fed into a centralized database. This enables the creation of a rich dataset that supports cross-institutional collaboration and large-scale comparative studies.
The resulting big data can be analyzed using advanced AI models to identify patterns, such as changes in production techniques over time, distribution networks, and cultural influences. The project thus not only creates an invaluable resource for current researchers but also sets the stage for future advancements in archaeological research by providing the foundational data necessary for AI-driven analysis.
Involved partners
Institut national de recherches archéologiques préventives (INRAP – FR)
Created in 2002, Inrap is a public research institution under the supervision of the Ministries of Culture and Communication, and of Research. It ensures the detection and study of the archaeological heritage affected by development works.
Results
This section will be completed during the project’s implementation.
Work packages (WP)
This research focus is related more specifically with AUTOMATA WP7 (Implementation and testing of the overall system) and 8 (Data collection)