RESEARCH DESCRIPTION
The project, developed in collaboration with LIDA – Computer Laboratory for Art Historical Documentation of the Department of Humanities and Cultural Heritage, focuses on the recovery and enhancement of obsolete databases through the automatic extraction and cataloguing of information. The goal is to create a comprehensive Knowledge Base on people, assets, events, their attributes, and their relationships. Through the application of advanced inference engines, the project aims to identify previously hidden information and relationships, offering new perspectives for the study and analysis of historical and cultural data.
Technological Tools and Methods
- Databases and Knowledge Bases for the systematic organization of entities, attributes, and relationships.
- Inference engines (abductive, deductive, and inductive reasoning algorithms) for discovering new correlations within the data.
- Automatic extraction and cataloguing tools for transforming obsolete or unstructured data into usable information.
OPPORTUNITIES FOR PARTICIPATION IN THE PROJECT
- Bachelor’s degree projects: cataloguing and analysis of entities in historical databases, and the creation of thematic records for the Knowledge Base.
- Master’s degree projects: application of inference engines for data analysis, study of relationships between entities, and development of tools for knowledge management.
- PhD projects: advanced research on inference engines, development of models to discover new correlations, and the structuring of integrated Knowledge Base platforms for historical and cultural studies.
- Internships and collaborations: support in database management and updating, development of automatic extraction tools, and implementation of innovative methodologies for data analysis.
