A visualization method for ontology based verification of relation network = 온톨로지 기반 관계 네트워크 검증을 위한 시각화 방법

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Information science is widely adapted to various fields as biology, sociology, and economics. The basic work required to informatics is computerized information, such as, database and networks. To construct a database, we have to arrange properties of objects, and to build network, we have to find out relations between objects. To discover relation between different objects, we need to prove it one by one empirically. Usually, it is time consuming, besides, the number of works increases exponentially as the number of objects grows. But, if we know some objects are close to another or some objects have similar functions, we can make inference of the relationship between objects by that kind of knowledge. And these inferences can avoid false trial and errors in discovering relations. Ontology is a structured representation of conceptual knowledge. This hierarchical knowledge can be applied at inference of relation between objects. Objects with similar functions share similar ontology terms. Therefore, combining relation network with ontology make possible to reflect that kind of knowledge and we can infer unknown relations from it. In this paper, we have proposed a visualization method in 3D space, to verify specific relation network based on proper ontology structure. For the visualization algorithm, we have modified conventional graph drawing algorithm to map relation network on ontology tree and o gather related ontology terms. We have used protein-protein interaction data for relation network, and Gene Ontology for ontology structure. Proposed method visualizes proteins onto 3D space. We have designed experiments for relationship between Euclidean distance of each protein and existence of interaction. The results support our ideas and gave directions to future works.
Park, Jin-Ahresearcher박진아researcher
한국정보통신대학교 : 공학부,
Issue Date
392714/225023 / 020044576

학위논문(석사) - 한국정보통신대학교 : 공학부, 2006.8, [ vi, 38 p. ]


Ontology; Computer Graphics; Information Visualization; Bioinformatics; 바이오인포매틱스; 온톨로지; 컴퓨터그래픽스; 정보시각화

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School of Engineering-Theses_Master(공학부 석사논문)
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