A multi-dimensional river-water quality analysis system for interpreting environmental situations

Chalisa Veesommai, Yasushi Kiyoki, Shiori Sasaki

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

The multi-dimensional analysis is a promising approach to a new interpreting of environments by ground of the value-information and language-information on intellectual activities in various environment meanings to society. This paper presents a new analysis-system with semantic computing for environments in water-quality areas by integrating the fundamental important parameters of water-quality for creating the new meaning to society. The multi-water-parameter-analysis in a multi-dimensional space is important for current research issues in some water-quality research fields, which are based on the values and meanings of each parameter for obtaining the meaningful words in the category of agriculture, aquatic life, fish, drinking, industrial and irrigation. The multi-dimensional semantic space is significantly utilized for various interpretations related to the water-quality.

本文言語English
ホスト出版物のタイトルInformation Modelling and Knowledge Bases XXVIII
編集者Bernhard Thalheim, Hannu Jaakkola, Yasushi Kiyoki, Naofumi Yoshida
出版社IOS Press
ページ43-62
ページ数20
ISBN(電子版)9781614997191
DOI
出版ステータスPublished - 2017

出版物シリーズ

名前Frontiers in Artificial Intelligence and Applications
292
ISSN(印刷版)0922-6389

ASJC Scopus subject areas

  • 人工知能

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