Thesis subject
Large Language Models in Knowledge Extraction for Greenhouses (MSc)
The rapid evolution of Large Language Models (LLMs) has transformed ontology learning and knowledge graph construction. These models offer promising results for structured knowledge extraction from text through end-to-end and modular pipelines. However, the application and particularly the quality of the resulting ontologies or knowledge bases, especially in specific application domains such as greenhouse horticulture, remain underexplored.
For details:
Contact person(s)
Önder Babur (onder.babur@wur.nl)
Sander de Meij (sander.demeij@bim-connected.com)
Gurkan Soykan (gurkan.soykan@wur.nl)