Vocabularies, schemas and ontologies have been increasingly created and applied in geosciences in the past decades, and have always been a topic of interest in geoinformatics. Inspired by the recent success of knowledge graphs in industry, the academia is beginning to use knowledge graph as an umbrella topic for works on vocabularies, schemas, and ontologies. In the geoscience community, we have seen many successful applications of knowledge graph in data curation and integration. Recently, there were also applications of knowledge graph together with machine learning algorithms to improve the quality of data science processes. Specifically, geoscientists welcome technologies to enable the use existing knowledge graphs in various adoptions. This session welcomes submissions of all topics, to provide a venue for knowledge graph practitioners to share their results and experience, present successful stories on systems enabling knowledge graph usage, learn best practices, and discuss visions and potential collaborations for future work.

• EGU: European Geosciences Union -
• GS: Geochemical Society -
• GSA: Geological Society of America -
• MSA: Mineralogical Society of America -