@inproceedings{306f90be6d6c4a53a6bbbcc77e253b85,
title = "Global & geographical mapping and visualization method for personal/collective health data with 5D world map system",
abstract = "This paper presents a new knowledge base creation method for personal/collective health data with knowledge of preemptive care and potential risk inspection with a global and geographical mapping and visualization functions of 5D World Map System. The final goal of this research project is a realization of a system to analyze the personal health/bio data and potential-risk inspection data and provide a set of appropriate coping strategies and alert with semantic computing technologies. The main feature of 5D World Map System is to provide a platform of collaborative work for users to perform a global analysis for sensing data in a physical space along with the related multimedia data in a cyber space, on a single view of time-series maps based on the spatiotemporal and semantic correlation calculations. In this application, the concrete target data for world-wide evaluation is (1) multi-parameter personal health/bio data such as blood pressure, blood glucose, BMI, uric acid level etc. and daily habit data such as food, smoking, drinking etc., for a health monitoring and (2) time-series multi-parameter collective health/bio data in the national/regional level for global analysis of potential cause of disease. This application realizes a new multidimensional data analysis and knowledge sharing for both a personal and global level health monitoring and disease analysis. The results are able to be analyzed by the time-series difference of the value of each spot, the differences between the values of multiple places in a focused area, and the time-series differences between the values of multiple locations to detect and predict a potential-risk of diseases.",
keywords = "AI, Actuation, Big Data, Biographical Data, Cyber-Physical System, Data Mining, Medical Data, Medicine, Processing, SDG3, SDGs, SPA, Semantic Computing, Semantic Search, Sensing, Sensing, UN, United Nation, Visualization, Vital Data, Warning",
author = "Shiori Sasaki and Koji Murakami and Yasushi Kiyoki and Asako Uraki",
note = "Publisher Copyright: {\textcopyright} 2021 The authors and IOS Press.; 30th International conference on Information Modeling and Knowledge Bases, EJC 2020 ; Conference date: 08-06-2020 Through 09-06-2020",
year = "2020",
month = dec,
day = "16",
doi = "10.3233/FAIA200825",
language = "English",
series = "Frontiers in Artificial Intelligence and Applications",
publisher = "IOS Press BV",
pages = "134--149",
editor = "Marina Tropmann-Frick and Bernhard Thalheim and Hannu Jaakkola and Yasushi Kiyoki and Naofumi Yoshida",
booktitle = "Information Modelling and Knowledge Bases XXXII",
}