Prof. Dr. Felix Naumann

Cognitive Analysis of art collections

These Master thesis proposals are related to the project CAart. The general motivation is to develop intelligent methods to process digitized art texts and resources, and mine interesting patterns from them. A long term goal would be to represent art information in a structured knowledge graph so as to facilitate advanced search and analysis. 

The proposed topics are open to interpretation and details about implementation can be worked out further. If you are interested in the general domain of data mining, knowledge graphs and deep learning, feel free to contact Nitisha Jain for more information and discussion of ideas.

Knowledge Base Construction for Art Collections with Deep Learning

Prediction and Analysis of Cultural Heritage with Web Data Augmentation