Ontology-Based Diet Recommendation System
S Shridevi1 , K Archana2
1Shridevi S, School Of Computing Sciences And Engineering, Vit University, Chennai, India.
2Archana K, School Of Computing Sciences And Engineering, Vit University, Chennai, India.
Manuscript received on 01 August 2019. | Revised Manuscript received on 08 August 2019. | Manuscript published on 30 September 2019. | PP: 5811-5815 | Volume-8 Issue-3 September 2019 | Retrieval Number: C5194098319/2019©BEIESP | DOI: 10.35940/ijrte.C5194.098319
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Recommender systems are needed to find food items of one’s interest. We propose a food personalization framework that assists the user with the actual diet selection process. The Ontology-based process, recommend an appropriate diet for the user. The system analyses the user’s queries based on their requirements and recommends diet, based on their diseases and deficiencies. The system is tested for its efficiency in terms of query processing for users nutrient requirements.
Keywords: Semantic Framework, Ontology, RDF Dataset, SWRL, SPARQL Query.
Scope of the Article: Semantic Web