Spatial dynamics of the global water quality analysis system with semantic-ordering functions

Chalisa Veesommai, Yasushi Kiyoki

研究成果: Conference contribution

抄録

The rapid temporal and spatial changes of human population and technology development have resulted in the expansion of agriculture, industrial activity, and deforestation. Those massive expansions affect water resources, especially river. Since the river is the main resource of water in human life, it is crucial to analyze the river water-quality in order to detect the water contamination. In this paper, we present an automatic system for water-quality analysis using several databases and different contexts in dynamic sub-space selection contexts. This system obtains information resources by transforming the sensor-value information to language information. This system aims to monitor, analyze and evaluate the Global Water-quality by using Semantic-ordering functions both in single and multiple parameters. Semantic-ordering is used for spatial-dynamics environmental changes in multiple contexts (aquatic life, agricultural, drinking, fish, industrial usage, and irrigation context). As for the experimental study, four places have been selected as study areas; (1) Hawaii (USA), (2) Pori, (Finland), (3) Riga (Latvia), and (4) Vientiane (Laos). The data resource was acquired from March to September 2016. The result shows that this system is able to analyze and identify the ordering of the different water-quality on different places in the global point of view level and to present the global-scale ranking of water quality.

本文言語English
ホスト出版物のタイトルInformation Modelling and Knowledge Bases XXIX
編集者Petchporn Chawakitchareon, Yasushi Kiyoki, Aran Hansuebsai, Chawan Koopipat, Virach Sornlertlamvanich, Naofumi Yoshida, Hannu Jaakkola, Bernhard Thalheim
出版社IOS Press
ページ149-163
ページ数15
ISBN(電子版)9781614998334
DOI
出版ステータスPublished - 2018
イベント27th International Conference on Information Modelling and Knowledge Bases, EJC 2017 - Krabi, Thailand
継続期間: 2017 6 52017 6 9

出版物シリーズ

名前Frontiers in Artificial Intelligence and Applications
301
ISSN(印刷版)0922-6389

Conference

Conference27th International Conference on Information Modelling and Knowledge Bases, EJC 2017
国/地域Thailand
CityKrabi
Period17/6/517/6/9

ASJC Scopus subject areas

  • 人工知能

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