2021/10/19 by Oshani Seneviratne, Seneviratne, Oshani, Jonathan J. Harris +6 · 2 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Biomedical Text Mining and Ontologies #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Semantic Web and Ontologies #Topic Modeling #cs.HC
paper · pdf · doi:10.48550/arxiv.2110.10131
arxiv created 2021/10/19 · openalex publication_date 2021/10/19 · arxiv updated 2021/10/20 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
We propose a knowledge model for capturing dietary preferences and personal context to provide personalized dietary recommendations. We develop a knowledge model called the Personal Health Ontology, which is grounded in semantic technologies, and represents a patient's combined medical information, social determinants of health, and observations of daily living elicited from interviews with diabetic patients. We then generate a personal health knowledge graph that captures temporal patterns from synthetic food logs, annotated with concepts from the Personal Health Ontology. We further discuss how lifestyle guidelines grounded in semantic technologies can be reasoned with the generated personal health knowledge graph to provide appropriate dietary recommendations that satisfy the user's medical and other lifestyle needs.