• Journal of the Korean Society for information Management
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• v.24 no.1 s.63
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• pp.209-226
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• 2007

XML documents format on the Web provides a mechanism to impose their content and logical structure information. Therefore, an XML processor provides access to their content and structure. The purpose of this study is to investigate the usefulness of structural hints in the leaf node language model-based XML document retrieval. In order to this purpose, this experiment tested the performances of the leaf node language model-based XML retrieval system to compare the queries for a topic containing only content-only constraints and both content constrains and structure constraints. A newly designed and implemented leaf node language model-based XML retrieval system was used. And we participated in the ad-hoc track of INEX 2005 and conducted an experiment using a large-scale XML test collection provided by INEX 2005.

• The KIPS Transactions:PartD
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• v.18D no.5
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• pp.323-328
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• 2011

For content-based image retrieval, the earth mover's distance and the optimal color composition distance are proposed to measure the dissimilarity. Although providing good retrieval results, both methods are too time-consuming to be used in a large image database. To solve the problem, we propose a new distance function that calculates an approximate earth mover's distance in linear time. To calculate the dissimilarity in linear time, the proposed approach employs the space-filling curve. We have performed extensive experiments to show the effectiveness and efficiency of the proposed approach. The results reveal that our approach achieves almost the same results with the EMD in linear time.

• Proceedings of the Korea Information Processing Society Conference
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• 2008.05a
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• pp.407-409
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• 2008

생명체는 여러 가지 물질로 구성되어 있으며, 그 생명체의 분포지역에 따라 생물 종 특성도 다르게 나타난다. 그래서 연구자들이 생명체에 관한 정보를 확인하려면 그 생명체의 종 정보, 지역과 생태정보를 관련 생물다양성 데이터베이스에서 검색하며, 생명체를 구성하는 유전자 서열정보와 단백질 구조정보는 Genbank, PDB 등의 유전자/단백질 데이터베이스에서 검색하고 있다. 또한 그 생명체에 관한 학술적 내용이 수록된 학술 논문까지 별도로 검색해야만 그 생물체에 관한 정확한 정보를 획득할 수 있다. 이런 불편함을 해결하려면 하나의 생명체를 검색할 때, 생명체의 종 정보, 위치 정보, 생명체를 구성하고 있는 유전자 정보, 그리고 논문정보를 연계하여 검색할 수 있는 시스템이 필요하다. 이에, 본 논문에서는 하나의 생명체를 검색할 때 종 정보뿐만 아니라 GIS를 이용한 위치정보와 생명체를 구성하는 유전자 정보를 연계하고 그 생명체에 관한 논문 정보까지 검색 가능한 생명정보 연계검색 인터페이스를 설계하였다.

• Journal of the Korean Society for Library and Information Science
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• v.48 no.1
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• pp.53-73
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• 2014

Given that emotion-based computing environment has grown recently, it is necessary to focus on emotional access and use of multimedia resources including images. The purpose of this study aims to identify the visual cues for emotion in images. In order to achieve it, this study selected five basic emotions such as love, happiness, sadness, fear, and anger and interviewed twenty participants to demonstrate the visual cues for emotions. A total of 620 visual cues mentioned by participants were collected from the interview results and coded according to five categories and 18 sub-categories for visual cues. Findings of this study showed that facial expressions, actions / behaviors, and syntactic features were found to be significant in terms of perceiving a specific emotion of the image. An individual emotion from visual cues demonstrated distinctive characteristics. The emotion of love showed a higher relation with visual cues such as actions and behaviors, and the happy emotion is substantially related to facial expressions. In addition, the sad emotion was found to be perceived primarily through actions and behaviors and the fear emotion is perceived considerably through facial expressions. The anger emotion is highly related to syntactic features such as lines, shapes, and sizes. Findings of this study implicated that emotional indexing could be effective when content-based features were considered in combination with concept-based features.