Using Semantic Search to Select and Rank Geological Publications

The aggregation of scientific information is essential for a comprehensive analysis of geological objects. This paper explores the potential and possibilities of semantic search to select thematically similar publications in the geological domain. Various language models are examined in the context of identifying similarities and differences in texts describing mineral deposits. After additional training of language models, a significant improvement in search results is demonstrated. Two web services are presented, based on a method for calculating the semantic similarity between texts and providing a quantitative assessment of their similarity.