{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,5]],"date-time":"2024-08-05T12:41:28Z","timestamp":1722861688104},"reference-count":0,"publisher":"IOS Press","license":[{"start":{"date-parts":[[2020,12,16]],"date-time":"2020-12-16T00:00:00Z","timestamp":1608076800000},"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":[[2020,12,16]]},"abstract":"<jats:p>Semantic computing is essentially significant for realizing the semantic interpretation of natural and social phenomena and analyzes the changes of various environmental situations. The 5D World Map (5DWM) System [4,6,8] has introduced the concept of \u201cSPA (Sensing, Processing and Analytical Actuation Functions)\u201d for global environmental system integrations [1\u20134], as a global environmental knowledge sharing, analysis and integration system. Environmental knowledge base creation with 5D World Map is realized for sharing, analyzing and visualizing various information resources to the map which can facilitate global phenomena-observations and knowledge discoveries with multi-dimensional axis control mechanisms. The 5DWM is globally utilized as a Global Environmental Semantic Computing System, in SDGs 9, 11, 14, United-Nations-ESCAP: (https:\/\/sdghelpdesk.unescap.org\/toolboxes) for observing and analyzing disaster, natural phenomena, ocean-water situations with local and global multimedia data resources. This paper proposes a new semantic computing method as an important approach to semantic analysis for various environmental phenomena and changes in a real world. This method realizes \u201cSelf-Contained-Knowledge-Base-Image\u201d &amp; \u201cContextual-Semantic-Interpretation\u201d as a new concept of \u201cCoral-Health-level Analysis in Semantic-Space for Ocean-environment\u201d for global ocean-environmental analysis [8,9,12,18]. This computing method is applied to automatic database creation with coral-health-level analysis sensors for interpreting environmental phenomena and changes occurring in the oceans in the world. We have focused on an experimental study for creating \u201cCoral-Health-level Analysis Semantic-Space for Ocean-environment\u201d [8,9,12,18]. This method realizes new semantic interpretation for coral health-level with \u201ccoral-images and coral-health-level knowledge-chart\u201d.<\/jats:p>","DOI":"10.3233\/faia200821","type":"book-chapter","created":{"date-parts":[[2021,1,5]],"date-time":"2021-01-05T13:14:23Z","timestamp":1609852463000},"source":"Crossref","is-referenced-by-count":0,"title":["A Global &amp; Environmental Coral Analysis System with SPA-Based Semantic Computing for Integrating and Visualizing Ocean-Phenomena with \u201c5-Dimensional World-Map\u201d"],"prefix":"10.3233","author":[{"given":"Yasushi","family":"Kiyoki","sequence":"first","affiliation":[{"name":"Graduate School of Media and Governance, Keio University, Japan; kiyoki@sfc.keio.ac.jp"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Petchporn","family":"Chawakitchareon","sequence":"additional","affiliation":[{"name":"Environmental Engineering Department, Chulalongkorn University, Bangkok, Thailand; petchporn.c@chula.ac.th"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sompop","family":"Rungsupa","sequence":"additional","affiliation":[{"name":"Aquatic Resources Research Institute, Chulalongkorn University, Bangkok, Thailand"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xing","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Information & Computer Sciences Kanagawa Institute of Technology, Japan; chen@ic.kanagawa-it.ac.jp"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kittiya","family":"Samlansin","sequence":"additional","affiliation":[{"name":"Environmental Engineering Department, Chulalongkorn University, Bangkok, Thailand; petchporn.c@chula.ac.th"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Frontiers in Artificial Intelligence and Applications","Information Modelling and Knowledge Bases XXXII"],"original-title":[],"link":[{"URL":"http:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/FAIA200821","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,1,5]],"date-time":"2021-01-05T13:14:24Z","timestamp":1609852464000},"score":1,"resource":{"primary":{"URL":"http:\/\/ebooks.iospress.nl\/doi\/10.3233\/FAIA200821"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,12,16]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/faia200821","relation":{},"ISSN":["0922-6389","1879-8314"],"issn-type":[{"value":"0922-6389","type":"print"},{"value":"1879-8314","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,12,16]]}}}