• Title/Summary/Keyword: inference process interpretation

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Ontology-based Customized Health Management Service for Metabolic Syndrome Patients (대사 증후군 환자들을 위한 온톨로지 기반 맞춤형 건강관리 서비스)

  • Lee, Byung-Mun;Lee, Young-Ho;Yu, Ki-Min;Park, Ji-Yoon;Kang, Un-Gu
    • Journal of the Korea Society of Computer and Information
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    • v.17 no.1
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    • pp.41-52
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    • 2012
  • According to 2005 Korea National Health and Nutrition Survey, it has been reported that 32.9% men and 31.8% women have Metabolic syndrome among the population of age 30 and over. The importance of prevention and management is being emphasized in Metabolic syndrome which is a complex disease related to various generic and environmental factors like other chronical disease. In this study we suggest an service based on the data using the system architecture, ontology and Jena2.0 inference engine and organizing the disease-related guideline. The study also arrives at the result through proper interpretation and reasoning process using health management service model based on ontology. The accuracy according to the situation was tested and 930 data samples were selected and experimented. We drew a conclusion that the much personalized data is available, the more personalized services are possible. Since the risk factors of Metabolic syndrome are various, it would be effective to suggest customized services based on various personalized data.

A Study on Creative Cognition of Language based concept Generation of Game Graphics (언어기반 게임그래픽 디자인 발상의 창의적 인지에 관한 연구)

  • Huh, Yoon-Jung
    • Journal of Internet Computing and Services
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    • v.12 no.5
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    • pp.171-179
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    • 2011
  • In this paper it is hypothesized that word stimuli that are presented by Google’s search word, would improve the quality of the design solution, so this research examines the effect of related search word stimuli in concept generation and analyzes the results through the processes of creative cognition. In the process of concept generation, words are given as stimuli which are generated through Google's related search and these search words are given by 5 levels. Google search is based on the collaboration philosophy. People's participation and contribution recreate knowledge and information, so these renewed and related search words update in real time by people are used as stimuli. Two problems are provided with related search words. After the design concept generation the results are analyzed by 3 bases: the usage of related search words and those of frequency, creativity, and Finke's 12 Geneplore model. These are the results of the research. Many levels of related search words are used in design concept generation but especially higher levels which are more related to search words are more used than lower levels. The usage of multi words and conjunction with higher levels and lower levels words are observed in creative results. On the creative cognitive processes, it is more creative when using association and mental transformation with the related search words than using the related search words simply. Creative outputs also use conceptual interpretation, functional inference, and contextual shifting of creative cognitive processes of Finke's 12 Geneplore model.