SHARED
SHARED – Semantic-based Heterogeneous Archive for Reusable Exchangeable Data in Archaeology and Archaeometry is an innovative project aimed at creating an advanced digital collection that can be integrated into existing digital platforms to archive, correlate, visualize, and share archaeological and archaeometric data. This system seeks to connect these datasets with heterogeneous information from complementary domains, such as geology, chemistry, physics, and geography, utilizing automated metadata techniques based on AI and Natural Language Processing.
Main Objectives:
1) Advanced Associations: Link archaeological and archaeometric data with diverse informational contexts, creating a network of relationships spanning historical periods from prehistory to contemporary times.
2) Cutting-edge Technologies: Implement computational analyses (PCA, clustering, etc.), 3D visualization tools such as 3DHOP, and RDF systems with SPARQL endpoints for advanced queries.
3) Global Accessibility: Ensure that the data adheres to FAIR principles (Findable, Accessible, Interoperable, Reusable) through an open-source architecture and open licenses.
Methodology and Development Phases:
1) Conceptual Phase: Identify the fields and relationships of the digital collection, create a metadata system based on established standards, and design the hierarchical visualization structure.
2) Logical Phase: Define relational schemas and primary keys to organize the data.
3) Structural Phase: Develop a relational database capable of storing large volumes of heterogeneous data, optimized with SQL for fast access and integrated with geospatial and 3D data.
4) Initial Dataset: Insert data collected from excavation campaigns at the Certosa di Calci (PI), characterized by a wide chronological range and diverse formats (DXF, PNG, PDF, 3D, etc.), as a testing ground for the system.
5) Data Analysis and Visualization: Create a customizable graphical interface (CSS) for intuitive data access, allowing visualization in text, graphic, and multimedia formats.
6) Online Publication: Implement a Server-Client system for publication in a dedicated web environment.
7) Plugin Transformation: Develop algorithms to migrate the architecture to existing platforms.
8) Guides and Tutorials: Create user guides and tutorials to ensure researchers can use the tool autonomously.
Project edited by:
Lorena Bravi
lorena.bravi@uniroma1.com