{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,3]],"date-time":"2022-04-03T02:32:18Z","timestamp":1648953138155},"reference-count":0,"publisher":"IOS Press","license":[{"start":{"date-parts":[[2022,1,14]],"date-time":"2022-01-14T00:00:00Z","timestamp":1642118400000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,1,14]]},"abstract":"<jats:p>Semantic space creation and computing are essentially significant to realize semantic interpretations of situations and symptoms in human-health. We have presented a semantic space creation and computing method for domain-specific research areas. This method realizes semantic space creation with domain-oriented knowledge and databases. This paper presents a semantic space creation and computing method for \u201cHuman-Health Database\u201d with the implementation process for \u201cHuman-Health-Analytical Semantic Computing\u201d. This paper also presents a new knowledge base creation method for personal health data for preventive care and potential risk inspection with global and geographical mapping and visualization in 5-Dimensional World Map System. This method focuses on the analysis of personal health and potential-risk inspection and realizes a set of semantic computing functions for semantic interpretations of situations and symptoms in human-health. This method is applied to \u201cHuman-Health-Analytical Semantic Computing\u201d to realize world-wide evaluation for (1) multi-parameterized personal health data, such as various biomarkers, clinical physical parameters, lifestyle parameters, other clinical\/physiological or human health factors, etc., for health monitoring, and (2) time-series multi-parameterized health data in the national\/regional level for global analysis of potential cause of disease. This Human-Health-Analytical Semantic Computing method realizes a new multidimensional data analysis and knowledge sharing for a global-level health monitoring and disease analysis. The computational results are able to be visualized in the time-series difference of the values in each place, the difference between the values of multiple places in a focused area, and the time-series differences between the values of multiple places to detect and predict a potential-risk of diseases.<\/jats:p>","DOI":"10.3233\/faia210482","type":"book-chapter","created":{"date-parts":[[2022,1,17]],"date-time":"2022-01-17T15:42:31Z","timestamp":1642434151000},"source":"Crossref","is-referenced-by-count":0,"title":["Human-Health-Analysis Semantic Computing &amp; 5D World Map System"],"prefix":"10.3233","author":[{"given":"Yasushi","family":"Kiyoki","sequence":"first","affiliation":[{"name":"Graduate School of Media and Governance, Keio University, Japan"}]},{"given":"Koji","family":"Murakami","sequence":"additional","affiliation":[{"name":"SFC Research Institute, Keio University, Japan"},{"name":"Prevent Science Co., Ltd"}]},{"given":"Shiori","family":"Sasaki","sequence":"additional","affiliation":[{"name":"Graduate School of Media and Governance, Keio University, Japan"}]},{"given":"Asako","family":"Uraki","sequence":"additional","affiliation":[{"name":"Graduate School of Media and Governance, Keio University, Japan"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Information Modelling and Knowledge Bases XXXIII"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA210482","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,17]],"date-time":"2022-01-17T15:42:32Z","timestamp":1642434152000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA210482"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,1,14]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia210482","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,1,14]]}}}