TY - GEN
T1 - Multi-Dimensional Semantic Computing with Spatial-Temporal and Semantic Axes for Multi-spectrum Images in Environment Analysis
AU - Kiyoki, Yasushi
AU - Chen, Xing
AU - Sasaki, Shiori
AU - Koopipat, Chawan
N1 - Publisher Copyright:
© 2016 The authors and IOS Press. All rights reserved.
PY - 2016
Y1 - 2016
N2 - 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 semantic computing method with multi-spectrum images for analyzing and interpreting environmental phenomena and changes occurring in the physical world. We have already presented a concept of 'Semantic Computing System' for realizing global environmental analysis. This paper presents a new semantic computing method to realize semantic associative search for the multiple-colours-spectrum images in the multi-dimensional semantic space, that is 'multi-spectrum semantic-image space' with semantic projection functions. This space is created for dynamically computing semantic equivalence, similarity and difference between multi-spectrum images and environmental situations. We apply this system to global environmental analysis as a new platform of environmental computing. We have already presented the 5D World Map System, as an international research environment with spatio-temporal and semantic analysers. We also present several new approaches to global environmental-analysis for multi-spectrum images in 'multi-spectrum semantic-image space.'.
AB - 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 semantic computing method with multi-spectrum images for analyzing and interpreting environmental phenomena and changes occurring in the physical world. We have already presented a concept of 'Semantic Computing System' for realizing global environmental analysis. This paper presents a new semantic computing method to realize semantic associative search for the multiple-colours-spectrum images in the multi-dimensional semantic space, that is 'multi-spectrum semantic-image space' with semantic projection functions. This space is created for dynamically computing semantic equivalence, similarity and difference between multi-spectrum images and environmental situations. We apply this system to global environmental analysis as a new platform of environmental computing. We have already presented the 5D World Map System, as an international research environment with spatio-temporal and semantic analysers. We also present several new approaches to global environmental-analysis for multi-spectrum images in 'multi-spectrum semantic-image space.'.
UR - http://www.scopus.com/inward/record.url?scp=84956642815&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84956642815&partnerID=8YFLogxK
U2 - 10.3233/978-1-61499-611-8-14
DO - 10.3233/978-1-61499-611-8-14
M3 - Conference contribution
AN - SCOPUS:84956642815
T3 - Frontiers in Artificial Intelligence and Applications
SP - 14
EP - 30
BT - Information Modelling and Knowledge Bases XXVII
A2 - Welzer, Tatjana
A2 - Kiyoki, Yasushi
A2 - Yoshida, Naofumi
A2 - Riva, Giuseppe
A2 - Wiederhold, Brenda K.
A2 - Wiederhold, Mark D.
A2 - Thalheim, Bernhard
A2 - Jaakkola, Hannu
PB - IOS Press
ER -