• Title/Summary/Keyword: comparable mappings

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Comparisons of functional brain mappings in sensory and affective aspects following taste stimulation (미각자극에 따른 감각 및 감성적 미각정보 처리과정의 기능적 매핑 비교)

  • Lee, Kyung Hee
    • Science of Emotion and Sensibility
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    • v.15 no.4
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    • pp.585-592
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    • 2012
  • Food is crucial for the nutrition and survival of humans. Taste system is one of the fundamental senses. Taste cells detect and respond to five basic taste modalities (sweet, bitter, salty, sour, and umami). However, the cortical processing of taste sensation is much less understood. Recently, there were many efforts to observe the brain activation in response to taste stimulation using functional magnetic resonance imaging (fMRI), magnetoencephalography (MEG), and optical imaging. These different techniques do not provide directly comparable data each other, but the complementary investigations with those techniques allowed the description and understanding of the sequence of events with the dynamics of the spatiotemporal pattern of activation in the brain in response to taste stimulation. The purpose of this study is the understanding of the brain activities to taste stimuli in sensory and affective aspects and the reviewing of the recent research of the gustotopic map by functional brain mapping.

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Comparability and uniformity of ontology for automated information integration of parts (부품 라이브러리의 자동 정보 통합을 위한 온톨로지의 비교 가능성과 균질성 확보)

  • Cho Joonmyun;Han Soonhung;Kim Hyun
    • The KIPS Transactions:PartD
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    • v.12D no.3 s.99
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    • pp.365-374
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    • 2005
  • The B2B electronic product commerce needs intermediary system to provide an integrated interface for the parts libraries of multiple suppliers. However, it is difficult to automatically integrate the parts libraries because they are heterogeneous. Existing ontology-based approaches show a limited functionality of automated integration of information because Dey can not prevent ontologies from being modeled in different ways, so that the inter-ontology mappings to resolve the heterogeneity become complicated and arbitrary. In order to overcome such problems this paper proposes an ontology modeling framework for parts libraries based on the Guarino's theory of upper ontology. The framework provides knowledge modeling primitives which have explicit formal meanings and modeling principles based on ontological natures. Using the framework, ontology developers can model the knowledge of parts libraries systematically and consistently, so that the resulting ontologies become comparable and uniform and the ontology merging algorithm for the automated information integration can be easily developed.