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An Extensible Ontology Modeling Approach Using Post Coordinated Expressions for Semantic Provenance in Biomedical Research.

, , , , , и . OTM Conferences (2), том 10574 из Lecture Notes in Computer Science, стр. 337-352. Springer, (2017)

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An Extensible Ontology Modeling Approach Using Post Coordinated Expressions for Semantic Provenance in Biomedical Research., , , , , и . OTM Conferences (2), том 10574 из Lecture Notes in Computer Science, стр. 337-352. Springer, (2017)Validating an Algorithm for Automatic Scoring of Inspiratory Flow Limitation Within a Range of Recording Settings., , , , , , , , , и . EMBC, стр. 4788-4791. IEEE, (2018)Population sequencing data reveal a compendium of mutational processes in the human germ line, , , , , , , , , и 34 other автор(ы). Science, (2021)The landscape of recombination in African Americans, , , , , , , , , и 71 other автор(ы). Nature, (июля 2011)An Ontology-Enabled Natural Language Processing Pipeline for Provenance Metadata Extraction from Biomedical Text (Short Paper)., , , , и . OTM Conferences, том 10033 из Lecture Notes in Computer Science, стр. 699-708. (2016)Classification of Provenance Triples for Scientific Reproducibility: A Comparative Evaluation of Deep Learning Models in the ProvCaRe Project., , , , и . IPAW, том 11017 из Lecture Notes in Computer Science, стр. 30-41. Springer, (2018)