Aware Computing in Spatial Language Understanding Guided by Cognitively Inspired Knowledge Representation

Mental image directed semantic theory (MIDST) has proposed an omnisensory mental image model and its description language Lmd. This language is designed to represent and compute human intuitive knowledge of space and can provide multimedia expressions with intermediate semantic descriptions in predi...

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Main Author: Masao Yokota
Format: Article
Language:English
Published: Wiley 2012-01-01
Series:Applied Computational Intelligence and Soft Computing
Online Access:http://dx.doi.org/10.1155/2012/184103
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author Masao Yokota
author_facet Masao Yokota
author_sort Masao Yokota
collection DOAJ
description Mental image directed semantic theory (MIDST) has proposed an omnisensory mental image model and its description language Lmd. This language is designed to represent and compute human intuitive knowledge of space and can provide multimedia expressions with intermediate semantic descriptions in predicate logic. It is hypothesized that such knowledge and semantic descriptions are controlled by human attention toward the world and therefore subjective to each human individual. This paper describes Lmd expression of human subjective knowledge of space and its application to aware computing in cross-media operation between linguistic and pictorial expressions as spatial language understanding.
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institution Kabale University
issn 1687-9724
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publishDate 2012-01-01
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spelling doaj-art-19dcc80acf67495cbcd318335ac194342025-02-03T01:27:30ZengWileyApplied Computational Intelligence and Soft Computing1687-97241687-97322012-01-01201210.1155/2012/184103184103Aware Computing in Spatial Language Understanding Guided by Cognitively Inspired Knowledge RepresentationMasao Yokota0Department of System Management, Fukuoka Institute of Technology, Fukuoka 811-0295, JapanMental image directed semantic theory (MIDST) has proposed an omnisensory mental image model and its description language Lmd. This language is designed to represent and compute human intuitive knowledge of space and can provide multimedia expressions with intermediate semantic descriptions in predicate logic. It is hypothesized that such knowledge and semantic descriptions are controlled by human attention toward the world and therefore subjective to each human individual. This paper describes Lmd expression of human subjective knowledge of space and its application to aware computing in cross-media operation between linguistic and pictorial expressions as spatial language understanding.http://dx.doi.org/10.1155/2012/184103
spellingShingle Masao Yokota
Aware Computing in Spatial Language Understanding Guided by Cognitively Inspired Knowledge Representation
Applied Computational Intelligence and Soft Computing
title Aware Computing in Spatial Language Understanding Guided by Cognitively Inspired Knowledge Representation
title_full Aware Computing in Spatial Language Understanding Guided by Cognitively Inspired Knowledge Representation
title_fullStr Aware Computing in Spatial Language Understanding Guided by Cognitively Inspired Knowledge Representation
title_full_unstemmed Aware Computing in Spatial Language Understanding Guided by Cognitively Inspired Knowledge Representation
title_short Aware Computing in Spatial Language Understanding Guided by Cognitively Inspired Knowledge Representation
title_sort aware computing in spatial language understanding guided by cognitively inspired knowledge representation
url http://dx.doi.org/10.1155/2012/184103
work_keys_str_mv AT masaoyokota awarecomputinginspatiallanguageunderstandingguidedbycognitivelyinspiredknowledgerepresentation