FoodKG Enabled Questions and Answers Application
dc.contributor.author | Haussmann, Steven | |
dc.contributor.author | Chen, Yu | |
dc.contributor.author | Seneviratne, Oshani | |
dc.contributor.author | Rastogi, Nidhi | |
dc.contributor.author | Codella, James | |
dc.contributor.author | Chen, Ching Hua | |
dc.contributor.author | McGuinness, Deborah | |
dc.contributor.author | Zaki, Mohammed | |
dc.date.accessioned | 2022-02-15T17:38:15Z | |
dc.date.available | 2022-02-15T17:38:15Z | |
dc.date.issued | 2019-10-01 | |
dc.identifier.other | 26 | |
dc.identifier.uri | http://ceur-ws.org/Vol-2456/paper71.pdf | |
dc.description.abstract | We demonstrate the usage of our FoodKG [3], a food knowledge graph designed to assist in food recommendation. This resource, which brings together recipes, nutrition, food taxonomies, and links into existing ontologies, is used to power a cognitive agent that performs knowledge-base question answering, primarily to help improve peoples' diets by guiding them towards better foods. The system demonstration involves three categories of questions: simple queries for nutritional information, comparisons of nutrients between dierent foods, and constraintbased queries to nd recipes matching certain criteria. | |
dc.relation.uri | https://tw.rpi.edu/project/HEALS | |
dc.subject | Health Empowerment by Analytics, Learning, and Semantics (HEALS) | |
dc.title | FoodKG Enabled Questions and Answers Application |
Files in this item
Files | Size | Format | View |
---|---|---|---|
There are no files associated with this item. |
This item appears in the following Collection(s)
-
Tetherless World Publications
Published works affiliated with TWC