CETERA aims to improve productivity within knowledge-intensive sectors - i.e. publishing, cultural tourism, digital schools, e-learning - through the use of advanced technologies such as big data, artificial intelligence and augmented reality.
The objective is to effectively manage digital resources in order to extract relevant information and facilitate its understanding. The project includes solution prototyping, integration into an SaaS Software as a service centre and testing in three specific areas.
The CETERA project intends to transform traditional crafts into an advanced production process, using public digital resources to support the interpretation and presentation of cultural data.
This project aims to facilitate the acquisition and fusion of digital databases, organise knowledge through artificial intelligence and improve the understanding of cultural content through augmented reality.
Application areas include publishing, education and cultural and tourism services, with an approach that makes these technologies easily accessible to users via an SaaS Software as a service model.
The CETERA project aims to exploit humanistic knowledge within an advanced production process that employs emerging technologies to improve the management and use of cultural data.
The main objective is to create a coordinated value chain integrating Big Data, artificial intelligence and augmented reality, addressing traditional problems such as the management of vast amounts of cultural data and our dependence on experts.
The project aims to develop a scalable repository for the management of cultural data, an artificial intelligence system to organise and analyse this information, and augmented reality tools to improve the understanding of cultural content.
CETERA's solutions will be accessible via an SaaS telematics service, allowing users to take advantage of these technologies without having to worry about technical complexities.
This innovative approach aims to promote cultural heritage.
The CETERA project is developed by:
M.E.T.A. Srl, lead company
Inera S.r.l.
University of Roma Tor Vergata
F2 S.r.l.
Linearit S.p.A.
