ArchAIDE aims to support archaeologists' work of classifying and interpreting pottery sherds through innovative computer tools. The tools will match discovered sherds to huge existing ceramic catalogs. Key concepts include using deep learning for automatic pottery recognition, digitizing texts manually and automatically, and developing multilingual vocabularies to conceptually and linguistically map pottery. The project involves various partners and faces open challenges regarding user experience evaluation, engaging users for data and testing, addressing technology issues like deep learning techniques, and ensuring business sustainability and handling intellectual property issues after the project lifetime.

1. CrossCult has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement no 693150
EMOTIVE has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 727188

2. Main Objective:
• ArchAIDE aims to support the classification and
interpretation work of the archaeologists with
innovative computer-based tools, able to provide
the user with features for matching of each
discovered sherd over the huge existing ceramic
catalogues.
from to
Central concepts:
• Automatic recognition of archaeological pottery (Deep
Learning)
• (Assisted) manual and automatic text digitization
• Conceptual and linguistical mapping of archaeological
pottery (Multilingual vocabularies)
• Datafication of archaeology
University of Pisa (coordinator)
CNR
INERA srl
University of Barcelona
BARAKA
ELEMENTS
University of York
University of Cologne
University of Tel Aviv

3. ArchAIDE - Open challenges
User experience evaluation
• Engaging Associates for data collections and testbeds
• Engaging diverse target user groups through workshops and events
• Testbeds
Technology Issues
• Deep learning technique for automatic recognition of
archaeological pottery
Business and sustainability
• Sustainability after project lifetime
• Exploitation model
• IPR and Copyright issues