27 citations · 134 across the 20 of their papers we have counts for
7 papers · 1 filter
Personal Health Knowledge Graph for Clinically Relevant Diet Recommendations
Oshani Seneviratne, Jonathan Harris, Ching-Hua Chen +1
We propose a knowledge model for capturing dietary preferences and personal context to provide personalized dietary recommendations. We develop a knowledge model called the Persona…
Leveraging Clinical Context for User-Centered Explainability: A Diabetes Use Case
Shruthi Chari, Prithwish Chakraborty, Mohamed Ghalwash +7
Academic advances of AI models in high-precision domains, like healthcare, need to be made explainable in order to enhance real-world adoption. Our past studies and ongoing interac…
Geospatial Reasoning with Shapefiles for Supporting Policy Decisions
Henrique Santos, James P. McCusker, Deborah L. McGuinness
Policies are authoritative assets that are present in multiple domains to support decision-making. They describe what actions are allowed or recommended when domain entities and th…
Semantic Modeling for Food Recommendation Explanations
Ishita Padhiar, Oshani Seneviratne, Shruthi Chari +2
With the increased use of AI methods to provide recommendations in the health, specifically in the food dietary recommendation space, there is also an increased need for explainabi…
Applying Personal Knowledge Graphs to Health
Sola Shirai, Oshani Seneviratne, Deborah L. McGuinness
Knowledge graphs that encapsulate personal health information, or personal health knowledge graphs (PHKG), can help enable personalized health care in knowledge-driven systems. In…
Commonsense Knowledge Mining from Term Definitions
Zhicheng Liang, Deborah L. McGuinness
Commonsense knowledge has proven to be beneficial to a variety of application areas, including question answering and natural language understanding. Previous work explored collect…
Dimensions of Commonsense Knowledge
Filip Ilievski, Alessandro Oltramari, Kaixin Ma +3
Commonsense knowledge is essential for many AI applications, including those in natural language processing, visual processing, and planning. Consequently, many sources that includ…