The document discusses developing a Personalized Health Knowledge Graph (PHKG) to support personalized preventative healthcare applications. PHKG integrates medical knowledge and personal health data to provide context-specific and personalized insights. It proposes an architecture with a knowledge graph, rule-based inference engine, and integration of knowledge from ontology catalogs. Challenges include modeling personalization/context, analyzing IoT data, and reusing knowledge from existing health resources. The solution is demonstrated for asthma management using the KHealth dataset and ontologies. Future work includes additional disease cases and dynamic knowledge graph evolution.