A SPA-Based Semantic Computing System for Global & Environmental Analysis and Visualization with "5-Dimensional World-Map": "towards Environmental Artificial Intelligence

Yasushi Kiyoki, Xing Chen, Chalisa Veesommai, Irene Erlyn Rachmawan, Petchporn Chawakitchareon

研究成果: Conference contribution

抄録

The significant computation in global environmental analysis is "contextoriented semantic computing" to interpret the meanings of natural phenomena occurring in the nature. Our semantic computing method realizes the semantic interpretation of natural phenomena and analyzes the changes of various environmental situations. It is important to realize global environmental computing methodology for analyzing difference and diversity of nature and livings in a context dependent way with a large amount of information resources in global environments. Semantic computations contribute to make "appropriate and urgent solutions" to the changes of environmental situations. It is also significant to memorize those situations and compute environment changes in various aspects and contexts, in order to discover what are happening in the nature of our planet. We have various (almost infinite) aspects and contexts in environmental changes, and it is essential to realize a new analyzer for computing the meanings of those situations and making solutions for discovering actual aspects and contexts. We propose a new method for semantic computing in our Multi-dimensional World map. We utilize a multi-dimensional computing model, the Mathematical Model of Meaning (MMM) [1-3], and a multi-dimensional space with an adaptive axis adjustment mechanism. In semantic computing for environmental changes in multi-aspects and contexts, we present important functional pillars for analyzing natural environment situations. We also present a method to analyze and visualize the highlighted pillars using our Multi-dimensional World Map (5-Dimensional World Map) System. We introduce the concept of "SPA (Sensing, Processing and Analytical Actuation Functions)" for realizing a global environmental system, to apply it to Multi-dimensional World Map System. This concept is essential to design environmental systems with Physical-Cyber integration to detect environmental phenomena in a physical-space (real space), map them to cyber-space to make analytical and semantic computing, and actuate the analytically computed results to the real space with visualization for expressing environmental phenomena, causalities and influences. This system currently realizes the integration and semantic-analysis for KEIO-MDBL-UN-ESCAP Joint system for global oceanwater analysis with image databases. We have implemented an actual space integration system for accessing environmental information resources and image analysis.

本文言語English
ホスト出版物のタイトルInformation Modelling and Knowledge Bases XXXI
編集者Ajantha Dahanayake, Janne Huiskonen, Yasushi Kiyoki, Bernhard Thalheim, Hannu Jaakkola, Naofumi Yoshida
出版社IOS Press
ページ285-305
ページ数21
ISBN(電子版)9781643680446
DOI
出版ステータスPublished - 2019 12 13
イベント29th International Conference on Information Modeling and Knowledge Bases, EJC 2019 - Lappeenranta, Finland
継続期間: 2019 6 32019 6 7

出版物シリーズ

名前Frontiers in Artificial Intelligence and Applications
321
ISSN(印刷版)0922-6389

Conference

Conference29th International Conference on Information Modeling and Knowledge Bases, EJC 2019
国/地域Finland
CityLappeenranta
Period19/6/319/6/7

ASJC Scopus subject areas

  • 人工知能

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