- The document contains notes from several talks on topics related to agriculture, artificial intelligence, data integration, publishing and interoperability, metadata, and data annotation/enrichment. - Key topics discussed include using semantic web technologies and linked data to integrate diverse agricultural data from CGIAR, building recommendation systems and data access platforms for field trial data, and developing taxonomies and vocabularies for sharing agricultural information. - Other talks addressed using knowledge graph embeddings and linked open data to predict drug-drug interactions, annotating genomic datasets with ontologies, and classifying genetic data using disease ontologies. - Presentations also provided overviews of tools for metadata annotation, data publishing and sharing through Wikidata,