
Dataset for a Food Ontology Integrating HUMMUS and Open Food Facts with Extended User Attributes This dataset supports a food ontology that semantically integrates two existing resources: the HUMMUS knowledge graph (focused on recipes, users, and reviews) and Open Food Facts (OFF, focused on nutritional information for packaged foods). In addition to aligning entities and concepts across the two sources, the ontology introduces new user-specific attributes to enable more fine-grained modeling of food preferences, constraints, and behaviors. The resource is intended for use in research on personalized nutrition, food recommendation systems, and knowledge-based AI applications.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
