Generating the Observation Facilities Vocabulary

This work focuses on the automatic generation of a controlled vocabulary for observation facilities by aligning data from multiple sources leveraging word embeddings, cosine similarity, and LLM-based validation of entities equivalence. The resulting vocabulary centralizes entity descriptions and acts as a name resolver by linking reference terms to their aliases.