(A) study on metadata structure and recommenders of biological systems to support bio-inspired design = 생체모방설계에서의 생물학적 시스템 탐색을 위한 메타데이터 설계 및 추천 시스템 개발 연구

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Bio-inspired design was introduced as an alternative method to encourage breakthrough innovations during design projects by stimulating analogical reasoning and thinking of designers. However, the method did not perform as well as researchers expected because most designers, who are novices in the fields of biology and ecology, cannot infer the proper analogue (i.e. biological system) from nature. To resolve this fundamental problem, a causal model based representation framework for ‘analogical reasoning’ ? searching and selecting the biological systems to apply ? have been developed. In addition, ontology based repository structures and retrieval systems have been proposed to support‘analogical thinking’ of designers. Nevertheless, these systematic approaches still restrict the candidates and inevitably lose potential biological systems relevant to the design project, due to the ‘physical relation’ biased problem and the ambiguity of the indexing mechanism of both current representation frameworks and retrieval systems. For example,the causality based support system known as a robust representation framework for a single biological system, stores information of a biological system only by its internal ‘physical relations’ and retrieves biological systems only by the physical relevance. However, from the perspective of ecological thinking, the further relatedness of ‘physical, biological, and ecological relations’ composes the holistic concept used to identify an organism in the flow of evolution because the ‘biological and ecological relations’ are also involved in the traits that designers may be interested in. Therefore, the supplementary information for ‘biological and ecological relations’ must be added to index the biological and environmental interactions, and to use the connectivity among entire organisms in the retrieval process. In this research, a causality based holistic representation framework for biological systems and an ‘all-connected’ ontology based repository and retrieval system are developed to support bio-inspired design. This effort might provide more opportunities in a bio-inspired design process by adding potential biological systems that might previously not have been considered.
Advisors
Lee, Ji-Hyunresearcher이지현researcher
Description
한국과학기술원 :문화기술대학원,
Publisher
한국과학기술원
Issue Date
2016
Identifier
325007
Language
eng
Description

학위논문(박사) - 한국과학기술원 : 문화기술대학원, 2016.8,[vi, 82 p. :]

Keywords

Bio-inspired design▼abiological system metadata modeling▼aontology▼arecommendation system; 생체모방설계▼a생물학적 시스템 메타데이터 모델링▼a온톨로지▼a추천 시스템

URI
http://hdl.handle.net/10203/264631
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=849801&flag=dissertation
Appears in Collection
GCT-Theses_Ph.D.(박사논문)
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