Alexandros Kouretsis

Title: Knowledge Extraction in the Field of Cultural Heritage via Machine Learning
Position: Post Ph.D

Kouretsis Alexandros

Committee

Supervisor: Assoc. Professor Andreas Giannakoulopoulos

Post Doctoral Research Abstract: My work aims on the statistical investigation of Linked Open Data regarding cultural heritage. More specifically, my study will focus on their structure and the possibility of augmenting information and extraction of insights through Machine Learning techniques and the Semantic Web. Μethods for linking to known cultural heritage databases for data collection and storage in graph form (non-Euclidean data) will also be developed. These data will be processed and used for the purpose of statistical learning focusing on non-Euclidean specialized techniques for extracting relationships and correlations, digital Art databases and the semantic web.

Keywords: Cultural Heritage, Linked Open Data, Semantic Web, Machine Learning, Graph Statistics


Education
- PhD in Astrophysics, Cosmology and General Relativity, Aristotle University of Thessaloniki, Department of Physics
- Master’s Degree in Physics and Technological Applications, National Technical University of Athens, Department of Applied Mathematics and Natural Sciences
- Bachelor’s Degree in Physics, National and Kapodistrian University of Athens, Department of Physics

Research Interests
- Differential Geometry and Applications
- Big Data
- Statistical Learning
- Data Visualization
- Network Analysis
- Linked Open Data
- Reproducibility of Research

Updated: 26-03-2022

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