One of the essential computations in ocean environmental study is semantic computing for interpreting and analyzing the changes of various situations (coral area, ocean water, places of ocean livings, sea level, etc.). It is important to realize global ocean-environmental computing methodology for analyzing difference and diversity of nature and livings in a context dependent way from a viewpoint of global environments.

It is also significant to memorize those situations and compute ocean-environment change in various aspects and contexts, in order to discover what are happening in the nature of ocean. We have various aspects and contexts in ocean-environmental changes in our planet, and it is essential to realize a new analyzer for computing differences in those situations for finding actual aspects and contexts existing in oceans. We have proposed a new method for Differential Computing in our Multi-dimensional World map in [3,4]. We utilize a multi-dimensional semantic computing model, and a multi-dimensional space with an adaptive-axes selection mechanism to implement semantic computing [1,2]. Computing ocean-environmental changes in multi-aspects and contexts using semantic computing, important factors that change natural ocean-environment are highlighted.

Semantic computing is an important and promising approach to semantic analysis for various environmental phenomena and changes in real world. This paper presents a new concept of “Coral-Health-Level Analysis Semantic-Space for Ocean-environment” for realizing global Ocean-environmental analysis. This space and computing method are based on environmental-database creation with coral-health-level-analysis sensors for analyzing and interpreting environmental phenomena and changes occurring in the oceans. This paper focuses on coral-health-level in South-East Asian Ocean area, as an experimental study for creating “Coral-Health-Level Analysis Semantic-Space for Ocean-environment”.

We have created a semantic-space for coral-health-level analysis in the South-East Asian Ocean area with 24-dimensional axes (coral-health-level parameters). As the first step, this space is applied to South-East Asian Ocean area, and it is expandable to multiple spots in Ocean-areas to analyze and compare their coral-health-level situations in the global scope for Ocean-environmental analysis.

In this paper, we also apply 5-Dimensional World Map System for semantic computing to analysis in South-East Asian Ocean area, as an international collaborative platform for Ocean-environment analysis with spatio-temporal and semantic dimensions.