Healthy Lifestyle Support: The PerKApp Ontology
Healthy lifestyle is not only a today trend fostered by the explosion of gluten-free foods (or similar) or by the presence on the market of many devices for monitoring how many steps you do during a day and how many calories you spent in the last twenty-four hours. Following a healthy lifestyle means also to prevent diseases as consequence of an incorrect diet or to avoid chronic pathologies that may occur after sensitive surgeries. In this paper, we present the first version of the PerKApp ontology. Here, we model concepts representing detailed foods properties, with the goal of supporting the construction of intelligent interfaces for domain experts. This ontology is part of the PerKApp project aiming to provide a full-fledged platform supporting the remote lifestyle monitoring of users by providing real-time feedback through persuasive context-based messages when necessary. Beside the ontology, the paper will also provide an overview of the PerKApp project and how the presented ontology will be used.
- 1.Bailoni, T., Dragoni, M., Eccher, C., Guerini, M., Maimone, R.: PerKApp: A context aware motivational system for healthier lifestyles. In: ISC2, pp. 1–4. IEEE (2016)Google Scholar
- 2.Grafenauer, S., Tapsell, L., Beck, E.: Beyond nutrients: classification of foods to identify dietary patterns for weight management. In: 16th International Congress of DieteticsGoogle Scholar
- 3.Cantais, J., Dominguez, D., Gigante, V., Laera, L., Tamma, V.: An example of food ontology for diabetes control. In: Proceedings of the International Semantic Web Conference 2005 Workshop on Ontology Patterns for the Semantic Web (2005)Google Scholar
- 4.Snae, C., Bruckner, M.: Foods: a food-oriented ontology-driven system, pp. 168–176 (2008)Google Scholar
- 5.Helmy, T., Al-Nazer, A., Al-Bukhitan, S., Iqbal, A.: Health, food and user’s profile ontologies for personalized information retrieval. In: Shakshuki, E.M. (ed.) Proceedings of the 6th International Conference on Ambient Systems, Networks and Technologies (ANT 2015), the 5th International Conference on Sustainable Energy Information Technology (SEIT-2015), London, 2–5 June 2015. Procedia Computer Science, vol. 52, pp. 1071–1076. Elsevier (2015)Google Scholar
- 6.Çelik Ertuğrul, D.: FoodWiki: a mobile app examines side effects of food additives via semantic web. J. Med. Syst. 40(2), 1–15 (2016)Google Scholar