Abstract
People are nowadays well aware that adopting healthy lifestyles, i.e., a combination of correct diet and adequate physical activity, may significantly contribute to the prevention of chronic diseases. We present the use of Semantic Web technologies to build a system for supporting and motivating people in following healthy lifestyles. Semantic technologies are used for modeling all relevant information, and for fostering reasoning activities by combining real-time user-generated data and domain expert knowledge. The proposed solution is validated in a realistic scenario and lessons learned from this experience are reported.
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CITATION STYLE
Dragoni, M., Rospocher, M., Bailoni, T., Maimone, R., & Eccher, C. (2018). Semantic technologies for healthy lifestyle monitoring. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11137 LNCS, pp. 307–324). Springer Verlag. https://doi.org/10.1007/978-3-030-00668-6_19
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