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W01-05: Uncertainty analysis and visualization in Large-Scale Vector Fields |
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W04-01: Ontology of the Organigram |
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W04-02: Relations between Institutional Roles and Deontic Roles in Biomedical Organizations |
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W04-03: An ontological study of healthcare corporations and their social entities |
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W04-04: Who's paying and who's graying? The organizations and roles associated with insurance policies, funding agencies, and national census data |
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W04-05: OntONeo: The Obstetric and Neonatal Ontology |
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W05-01: On Prescribing Drug Prescriptions |
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W05-02: Therapeutic Indications and Other Use-case-driven Updates in the Drug Ontology |
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W05-03: Modulated Evaluation Metrics for Drug-Based Ontologies |
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W05-04: LAERTES: An open scalable architecture for linking pharmacovigilance evidence sources with clinical data |
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W05-05: Co-occurrence Analysis of Adverse Events for Typhoid Fever Vaccines |
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W05-06: Hierarchical Sentiment Analysis on HPV Vaccines Related Tweets Using Machine Learning Based Approaches |
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W05-07: Ontology-based literature mining of E. coli vaccine-associated gene interaction networks |
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W11-01: Why we Need Food Ontology |
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W11-02: International Efforts in Creating Food Vocabularies |
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W11-03: Sustainable food systems and food in ecosystems |
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W11-04: Food composition: Understanding what gives food its colour, taste and aroma |
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W11-05: Food safety and infectious disease |
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W11-06: FoodON Use cases: Caution! Food Allergies Ahead |
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W11-07: IC3-Foods: An infrastructure for the next generation internet of food systems, food, and health. |
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W12-01: Some Challenges in Working with Biodiversity Ontologies |
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W12-02: TraitBank: semantic integration of biodiversity data from diverse sources |
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W12-03: The Biological Collections Ontology for linking traditional and contemporary biodiversity data |
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W12-04: The Plant Phenology Ontology for Phenological Data Integration |
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W12-06: Evolution of Floral Form: The potential of ontologies across diverse plant lineages |