IAMHAPPY: Towards an IoT knowledge-based cross-domain well-being recommendation system for everyday happiness
Amelie Gyrard,Amit P. Sheth +1 more
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TLDR
A web-based knowledge repository for emotion with a focus on happiness and well-being is built and integrated with a rule-based engine to suggest recommendations to achieve everyday people’s happiness.About:
This article is published in Smart Health.The article was published on 2020-03-01 and is currently open access. It has received 34 citations till now. The article focuses on the topics: Happiness & Web of Things.read more
Figures
Figure 2: The health sensor taxonomy to retrieve rules to interpret health data 
Table 4: Non-available Ontology-based projects to design the integrated food knowledge base and reasoning mechanisms employed. Legend: Recommender System (RS), Ontology Availability (OA) ![Figure 5: Using the Web of Knowledge and IoT applications to build the naturopathy scenario [64]](/figures/figure-5-using-the-web-of-knowledge-and-iot-applications-to-1prjlwz8.png)
Figure 5: Using the Web of Knowledge and IoT applications to build the naturopathy scenario [64] 
Figure 6: Naturopathy Scenario 1: Suggesting home remedies according to the body temperature 
Figure 3: The sensor taxonomy for Affective Science must be extended to retrieve existing projects and relevant rules to enrich data 
Table 5: Ontology-based projects for sleep, stress, fitness, obesity, and acupuncture and reasoning mechanisms employed. Legend: Ontology Availability (OA), Machine Learning (ML), Knowledge Graph (KG)
![Figure 5: Using the Web of Knowledge and IoT applications to build the naturopathy scenario [64]](/figures/figure-5-using-the-web-of-knowledge-and-iot-applications-to-1prjlwz8.webp)
Citations
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Journal ArticleDOI
Recommendation Systems: Algorithms, Challenges, Metrics, and Business Opportunities
TL;DR: An overview of the current state of the art in recommendation systems, their types, challenges, limitations, and business adoptions is provided.
Journal ArticleDOI
LSTM-Based Emotion Detection Using Physiological Signals: IoT Framework for Healthcare and Distance Learning in COVID-19
Muhammad Awais,Mohsin Raza,Nishant Singh,Kiran Bashir,Umar Manzoor,Saiful Islam,Joel J. P. C. Rodrigues +6 more
TL;DR: The achieved results in communications and AI match the interdependency requirements of deep learning and IoT frameworks, thus ensuring the suitability of proposed work in distance learning, student engagement, healthcare, emotion support, and general wellbeing.
Proceedings Article
Position paper on realizing smart products : challenges for semantic web technologies
TL;DR: This paper synthesizes existing work in this area in order to define and characterize smart products and reflects on a set of challenges that semantic technologies are likely to face in this domain.
Journal ArticleDOI
Measurement of Users’ Well-Being Through Domotic Sensors and Machine Learning Algorithms
Sara Casaccia,Luca Romeo,Andrea Calvaresi,Nicole Morresi,Andrea Monteriù,Emanuele Frontoni,Lorenzo Scalise,Gian Marco Revel +7 more
TL;DR: Results show that the RF algorithm provides better performance than the RT algorithm in predicting the level of well-being with a Mean Absolute Error in the multi-house procedure of 32%, 13% and 17% for the Avg, Mind and Phy indices, respectively.
References
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Journal ArticleDOI
Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions
TL;DR: This paper presents an overview of the field of recommender systems and describes the current generation of recommendation methods that are usually classified into the following three main categories: content-based, collaborative, and hybrid recommendation approaches.
Journal ArticleDOI
The FAIR Guiding Principles for scientific data management and stewardship
Mark Wilkinson,Michel Dumontier,IJsbrand Jan Aalbersberg,Gabrielle Appleton,Myles Axton,Arie Baak,Niklas Blomberg,Jan-Willem Boiten,Luiz Olavo Bonino da Silva Santos,Philip E. Bourne,Jildau Bouwman,Anthony J. Brookes,Timothy Clark,Mercè Crosas,Ingrid Dillo,Olivier G. Dumon,Scott C. Edmunds,Chris T. Evelo,Richard Finkers,Alejandra Gonzalez-Beltran,Alasdair J. G. Gray,Paul Groth,Carole Goble,Jeffrey S. Grethe,Jaap Heringa,Peter A C 't Hoen,Rob Hooft,Tobias Kuhn,Ruben Kok,Joost N. Kok,Scott J. Lusher,Maryann E. Martone,Albert Mons,Abel L. Packer,Bengt Persson,Philippe Rocca-Serra,Marco Roos,Rene van Schaik,Susanna-Assunta Sansone,Erik Anthony Schultes,Thierry Sengstag,Ted Slater,George Strawn,Morris A. Swertz,Mark Thompson,Johan van der Lei,Erik M. van Mulligen,Jan Velterop,Andra Waagmeester,Peter Wittenburg,Katherine Wolstencroft,Jun Zhao,Barend Mons,Barend Mons +53 more
TL;DR: The FAIR Data Principles as mentioned in this paper are a set of data reuse principles that focus on enhancing the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals.
Journal ArticleDOI
Toward principles for the design of ontologies used for knowledge sharing
TL;DR: The role of ontology in supporting knowledge sharing activities is described, and a set of criteria to guide the development of ontologies for these purposes are presented, and it is shown how these criteria are applied in case studies from the design ofOntologies for engineering mathematics and bibliographic data.
Journal ArticleDOI
Linked Data - the story so far
TL;DR: The authors describe progress to date in publishing Linked Data on the Web, review applications that have been developed to exploit the Web of Data, and map out a research agenda for the Linked data community as it moves forward.
Book
Flourish: A Visionary New Understanding of Happiness and Well-being
TL;DR: The appeal of what I write comes from the fact that it is grounded in careful science: statistical tests, validated questionnaires, thoroughly researched exercises, and large, representative samples as discussed by the authors.