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Learning chemistry: exploring the suitability of machine learning for the task of structure-based chemical ontology classification

, , , , and . Journal of Cheminformatics, 13 (1): 23 (2021)
DOI: 10.1186/s13321-021-00500-8

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Annotating Affective Neuroscience Data with the Emotion Ontology, , , and . Third International Conference on Biomedical Ontology, ICBO, (2012)What's in an `is about' Link? Chemical Diagrams and the Information Artifact Ontology, , , and . ICBO-2011 International Conference on Biomedical Ontology, page 201-208. CEUR, (2012)FMCS: a novel algorithm for the multiple MCS problem., and . J. Cheminformatics, 5 (S-1): 6 (2013)Knowledge Graphs for the Life Sciences: Recent Developments, Challenges and Opportunities, , , , , , , , and . (2023)cite arxiv:2309.17255Comment: 32 pages, 1 figure, accepted for Transactions on Graph Data and Knowledge (TGDK).Evaluating the Emotion Ontology through use in the self-reporting of emotional responses at an academic conference., , , , and . J. Biomed. Semant., (2014)MetaboLights - an open-access general-purpose repository for metabolomics studies and associated meta-data., , , , , , , , , and 5 other author(s). Nucleic Acids Res., 41 (Database-Issue): 781-786 (2013)Knowledge Graphs for the Life Sciences: Recent Developments, Challenges and Opportunities., , , , , , , , and . TGDK, 1 (1): 5:1-5:33 (2023)Chebifier: Automating semantic classification in ChEBI to accelerate data-driven discovery, , , , , , , and . Digital Discovery, (2024)ESC-Rules: Explainable, Semantically Constrained Rule Sets., , , and . NeSy, volume 3212 of CEUR Workshop Proceedings, page 94-103. CEUR-WS.org, (2022)Neuro-Symbolic Semantic Learning for Chemistry., , , , and . Compendium of Neurosymbolic Artificial Intelligence, volume 369 of Frontiers in Artificial Intelligence and Applications, IOS Press, (2023)