Human-Interactive Annealing Process with Pictogram for Extracting New Scenarios for Patent Technology

The latent structure behind an observation often plays an important role in the dynamics of visible events. Such latent structure is composed of invisible events named dark events. Human-interactive annealing is developed to visualize and understand dark events. This paper presents an application of...

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Main Authors: Kenichi Horie, Yoshiharu Maeno, Yukio Ohsawa
Format: Article
Language:English
Published: Ubiquity Press 2007-03-01
Series:Data Science Journal
Subjects:
Online Access:http://datascience.codata.org/articles/399
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spelling doaj-bb8540355e7a427fa8770680ebf565092020-11-24T22:31:51ZengUbiquity PressData Science Journal1683-14702007-03-01610.2481/dsj.6.S132401Human-Interactive Annealing Process with Pictogram for Extracting New Scenarios for Patent TechnologyKenichi Horie0Yoshiharu Maeno1Yukio Ohsawa2School of Engineering、The University of Tokyo, Bunkyo-Ku Tokyo 113-8563Graduate School of System Management, the University of TsukubaSchool of Engineering、The University of Tokyo, Bunkyo-Ku Tokyo 113-8563The latent structure behind an observation often plays an important role in the dynamics of visible events. Such latent structure is composed of invisible events named dark events. Human-interactive annealing is developed to visualize and understand dark events. This paper presents an application of human-interactive annealing for extracting new scenarios for patent technology using the latent technology structure behind current patented technology.http://datascience.codata.org/articles/399Chance discoveryHuman-computer interactionAnnealingPictogramScenario
collection DOAJ
language English
format Article
sources DOAJ
author Kenichi Horie
Yoshiharu Maeno
Yukio Ohsawa
spellingShingle Kenichi Horie
Yoshiharu Maeno
Yukio Ohsawa
Human-Interactive Annealing Process with Pictogram for Extracting New Scenarios for Patent Technology
Data Science Journal
Chance discovery
Human-computer interaction
Annealing
Pictogram
Scenario
author_facet Kenichi Horie
Yoshiharu Maeno
Yukio Ohsawa
author_sort Kenichi Horie
title Human-Interactive Annealing Process with Pictogram for Extracting New Scenarios for Patent Technology
title_short Human-Interactive Annealing Process with Pictogram for Extracting New Scenarios for Patent Technology
title_full Human-Interactive Annealing Process with Pictogram for Extracting New Scenarios for Patent Technology
title_fullStr Human-Interactive Annealing Process with Pictogram for Extracting New Scenarios for Patent Technology
title_full_unstemmed Human-Interactive Annealing Process with Pictogram for Extracting New Scenarios for Patent Technology
title_sort human-interactive annealing process with pictogram for extracting new scenarios for patent technology
publisher Ubiquity Press
series Data Science Journal
issn 1683-1470
publishDate 2007-03-01
description The latent structure behind an observation often plays an important role in the dynamics of visible events. Such latent structure is composed of invisible events named dark events. Human-interactive annealing is developed to visualize and understand dark events. This paper presents an application of human-interactive annealing for extracting new scenarios for patent technology using the latent technology structure behind current patented technology.
topic Chance discovery
Human-computer interaction
Annealing
Pictogram
Scenario
url http://datascience.codata.org/articles/399
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AT yoshiharumaeno humaninteractiveannealingprocesswithpictogramforextractingnewscenariosforpatenttechnology
AT yukioohsawa humaninteractiveannealingprocesswithpictogramforextractingnewscenariosforpatenttechnology
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