Cross-Cultural Multimedia Computing with Impression-Based Semantic Spaces

Kiyoki, Yasushi; Sasaki, Satoshi; Trang, Nhung Nguyen; Diep, Nguyen Thi Ngọc

doi:10.1007/978-3-642-28279-9_21

Cited by 15 publications

(22 citation statements)

References 16 publications

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“…The basic system structure of the MMM and 5D World Map System is shown in Figure .2 and Figure . 3. The 5D World Map system, applied to environmental multimedia computing, visualizes world-wide and global relations among different areas and times in environmental aspects, by using dynamic mapping functions with temporal, spatial, semantic and impression-based computations [4,5,6,7,8].…”

Section: Semantic Computing In MMM and 5d World Map Systemmentioning

confidence: 99%

“…We have introduced the architecture of a multi-visualized and dynamic knowledge representation functions in "5D World Map System [4,6,8]," applied to environmental analysis and semantic computing. The basic space of this system consists of spatial (1 st 2 nd and 3 rd dimensions), temporal (4 th dimension), and semantic dimensions (5 th dimension, representing a large-scale and multiple-dimensional semantic space that is based on our semantic associative computing system (MMM)).…”

Section: Introductionmentioning

confidence: 99%

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mentioning

confidence: 99%

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A Global & Environmental Coral Analysis System with SPA-Based Semantic Computing for Integrating and Visualizing Ocean-Phenomena with “5-Dimensional World-Map”

Kiyoki¹,

Chawakitchareon

Rungsupa

et al. 2020

Frontiers in Artificial Intelligence and Applications

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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 “SPA (Sensing, Processing and Analytical Actuation Functions)” for global environmental system integrations [1–4], 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 “Self-Contained-Knowledge-Base-Image” & “Contextual-Semantic-Interpretation” as a new concept of “Coral-Health-level Analysis in Semantic-Space for Ocean-environment” 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 “Coral-Health-level Analysis Semantic-Space for Ocean-environment” [8,9,12,18]. This method realizes new semantic interpretation for coral health-level with “coral-images and coral-health-level knowledge-chart”.

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Section: Semantic Computing In MMM and 5d World Map Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…

…”

mentioning

confidence: 99%

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A Global & Environmental Coral Analysis System with SPA-Based Semantic Computing for Integrating and Visualizing Ocean-Phenomena with “5-Dimensional World-Map”

Kiyoki¹,

Chawakitchareon

Rungsupa

et al. 2020

Frontiers in Artificial Intelligence and Applications

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“…We have constructed "3D Cyber Space System for Environmental Analysis," as shown in Fig. 2, for sharing and analyzing environmental situations with MMM functions applied to "environmental multimedia data sharing," as a new platform of collaborative environment analysis [4,6]. This platform enables to create a remote, interactive and real-time environmental and academic research exchange among different areas.…”

Section: Global Environmental Analysis With Semantic Computingmentioning

confidence: 99%

“…We have introduced the architecture of a multi-visualized and dynamic knowledge representation system "5D World Map System [4,6,8]," applied to environmental analysis and semantic computing. The basic space of this system consists of a temporal (1 st dimension), spatial (2 nd , 3 rd and 4 th dimensions) and semantic dimensions (5 th dimension, representing a large-scale and multiple-dimensional semantic space that is based on our semantic associative computing system (MMM).…”

Section: Spatio-temporal and Semantic Computingmentioning

confidence: 99%

A Global Environment Analysis and Visualization System with Semantic Computing for Multi-Dimensional World Map

Kiyoki

2016

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Abstract. Humankind, the dominant species on Earth, faces the most essential and indispensable mission; we must endeavor on a global scale to perpetually restore and improve our natural and social environments. The essential computation in environmental study is context-dependent-differential computation to analyze the changes of various situations (temperature, color, CO2, places of livings, sea level, coral area, etc.). 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 terms of global environments. It is also significant to memorize those situations and compute environment change in various aspects and contexts, in order to discover what is happening in the nature of our planet. We have various (almost infinite) aspects and contexts in environmental changes in our planet, and it is essential to realize a new analyzer for computing differences in those situations for discovering actual aspects and contexts existing in the nature. We propose a new method for Differential Computing in our Multi-dimensional World map. We utilize a multi-dimensional computing model, the Mathematical Model of Meaning (MMM), and a multi-dimensional space filtering method with an adaptive axis adjustment mechanism to implement differential computing. Computing environmental changes in multi-aspects and contexts using differential computing, important factors that change natural environment are highlighted. We also present a method to analyze and visualize the highlighted factors using our Multi-dimensional World Map (5-Dimensional World Map) System. We also 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 (5-Dimensional World Map) System. This concept is effective and advantageous to design environmental systems with Physical-Cyber integration to detect environmental phenomena as real data resources 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.

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