• Title/Summary/Keyword: Case Retrieval

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The Analysis of ‘Fashion’ Category Structure in the Internet Search Engines (인터넷 검색 사이트의 ‘패션’ 카테고리 구조 분석)

  • 오현남;김현주;김문숙
    • The Research Journal of the Costume Culture
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    • v.9 no.3
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    • pp.412-432
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    • 2001
  • Internet search engines are used by the majority of find information on the Web. However, Web users can be often dissatisfied with the mistakes in the retrieval of ‘Fashion’ information from the Internet. The purpose of this study is to analyze the ‘Fashion’ category structure in the Internet search engines. There are 2 steps for achieving it: the first, to investigate the structures of ‘Fashion’ categories and then, to analyze the gap between ‘Fashion’ categories defined by them and extensive ‘Fashion’categories, which are approached on 2 sides of the fashion-life and fashion-business. We select 5 major search engines for the case study: Yahoo, Lycos, Naver, Hanmir, Empas, which ranked as top 5 of total search engines and potal sites in February, 2001, and retrieve ‘Fashion’ categories from the first level to the last level by using both “topics retrieval”. Eventually, we can find the problems of ‘Fashion’ category structure in search engines. Also, it is concluded with a brief perspective of ‘Fashion’ categories in the Internet search engines and the implications for the future.

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Report on the On-Line Information Retrieval System at the KIST Library (온라인 정보검색 시스템 연구 - 한국과학기술연구소 도서실의 사례를 중심으로 -)

  • Park Ke Hong;Lee Jin Hi
    • Journal of the Korean Society for Library and Information Science
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    • v.6
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    • pp.53-70
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    • 1979
  • This is to report the objectives, planning and the process of the establishment of an on-line information retrieval system in Korea. The model is the case of the Library of the Korea Institute of Science and Technology (KIST) which is the multi-disciplinary contract research organization in science and technology. The report explains the objectives and the step by step process such as input materials, analysis of the materials, structure of the data base files, indexes, command language, and the process, technique and logic of information retrieval. A brief comparison is made with other systems such as OCLC and BALLOTS and the authors gave various illustrations and samples to clarify the processes. The authors regrets that they could not give any detailed information on the budget or the cost accrued so far.

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The Design of a Retrieval System for Management of Emergency Equipment in the Underground Space (지하 공간의 방재장비 관리를 위한 검색 시스템 설계)

  • Park, Myung-Gil;Shin, Seong-Hyun;Jung, Hyun-Goon;Kim, Chang-Soo
    • 한국방재학회:학술대회논문집
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    • 2008.02a
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    • pp.641-644
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    • 2008
  • Recently, a lot of life damage caused by disaster have happened in the underground space. Because the space is closed areas and used by the unspecific majority. Therefore there are many kinds of emergency equipments for diminishing the life damage in case of the disaster. In this paper, we propose the retrieval system for the administrator. Our system provides the function for searching the descriptive information and spatial information of the equipment management. And the administrator can manage underground disaster equipments effectively through the system.

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Unexpected Detachment of Solitaire Stents during Mechanical Thrombectomy

  • Kim, Sung Tae;Jin, Sung-Chul;Jeong, Hae Woong;Seo, Jung Hwa;Ha, Sam Yeol;Pyun, Hae Wook
    • Journal of Korean Neurosurgical Society
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    • v.56 no.6
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    • pp.463-468
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    • 2014
  • Objective : Unexpected Solitaire stent detachment can occur during mechanical Solitaire thrombectomy. The purpose of this study was to retrospectively evaluate the influencing factors causing unexpected Solitaire stent detachment and the clinical outcomes. Methods : Between October 2011 to December 2013, 232 cases of mechanical Solitaire thrombectomy for acute ischemic stroke were performed in 3 stroke centers. During this period, we encountered unexpected Solitaire stent detachments during mechanical Solitaire thrombectomies in 9 cases. Results : Solitaire stents unexpectedly detached in 9 cases (3.9%) during the retrieval of Solitaire stents. The median patient age was 76 years. The occlusion sites of the unexpected stent detachment were the proximal middle cerebral artery (MCA) in 7 cases and the internal carotid artery in 2 cases. The sizes of the stents that unexpectedly detached were $6{\times}30$ mm in 7 cases, $5{\times}30$ mm in 1 case, and $4{\times}20$ mm in 1 case. Four patients had unexpected detachment at the first retrieval, 1 patient at the second, 3 patients at the third, and 1 patient at the fifth. In all of the cases of unexpected detachment at the first retrieval, the stent deployment site was the proximal MCA. After detachment, a proximal marker of the Solitaire stent was observed in 3 patients. However, no marker was visible in the remaining 6 patients. Conclusion : Unexpected Solitaire stent detachment should be considered in the first instance of stent retrieval for a relatively large-diameter stent, especially in elderly patients with MCA occlusions.

A Study of Document Ranking Algorithms in a P-norm Retrieval System (P-norm 검색의 문헌 순위화 기법에 관한 실험적 연구)

  • 고미영;정영미
    • Journal of the Korean Society for information Management
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    • v.16 no.1
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    • pp.7-30
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    • 1999
  • This study is to develop effective document ranking algorithms in the P-norm retrieval system which can be implemented to the Boolean retrieval system without major difficulties by using non-statistical term weights based on document structure. Also, it is to enhance the performance by introducing the rank adjustment process which rearranges the ranks of retrieved documents according to the similarity between the top ranked documents and the rest of them. Of the non-statistical term weight algorithms, this study uses field weight and term pair distance weight. In the rank adjustment process, five retrieval experiments were performed, ranging between the case of using one record for the similarity measurement and the case of using first five records. It is proved that non-statistical term weights are highly effective and the rank adjustment process enhance the performance further.

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Development of Suspended Particulate Matter Algorithms for Ocean Color Remote Sensing

  • Ahn, Yu-Hwan;Moon, Jeong-Eun;Gallegos, Sonia
    • Korean Journal of Remote Sensing
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    • v.17 no.4
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    • pp.285-295
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    • 2001
  • We developed a CASE-II water model that will enable the simulation of remote sensing reflectance($R_{rs}$) at the coastal waters for the retrieval of suspended sediments (SS) concentrations from satellite imagery. The model has six components which are: water, chlorophyll, dissolved organic matter (DOM), non-chlorophyllous particles (NC), heterotrophic microorganisms and an unknown component, possibly represented by bubbles or other particulates unrelated to the five first components. We measured $R_{rs}$, concentration of SS and chlorophyll, and absorption of DOM during our field campaigns in Korea. In addition, we generated $R_{rs}$ from different concentrations of SS and chlorophyll, and various absorptions of DOM by random number functions to create a large database to test the model. We assimilated both the computer generated parameters as well as the in-situ measurements in order to reconstruct the reflectance spectra. We validated the model by comparing model-reconstructed spectra with observed spectra. The estimated $R_{rs}$ spectra were used to (1) evaluate the performance of four wavelengths and wavelengths ratios for accurate retrieval of SS. 2) identify the optimum band for SS retrieval, and 3) assess the influence of the SS on the chlorophyll algorithm. The results indicate that single bands at longer wavelengths in visible better results than commonly used channel ratios. The wavelength of 625nm is suggested as a new and optimal wavelength for SS retrieval. Because this wavelength is not available from SeaWiFS, 555nm is offered as an alternative. The presence of SS in coastal areas can lead to overestimation chlorophyll concentrations greater than 20-500%.

Analyzing a Class of Investment Decisions in New Ventures : A CBR Approach (벤쳐 투자를 위한 의사결정 클래스 분석 : 사례기반추론 접근방법)

  • Lee, Jae-Kwang;Kim, Jae-Kyeong
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • 1999.10a
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    • pp.355-361
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    • 1999
  • An application of case-based reasoning is proposed to build an influence diagram for identifying successful new ventures. The decision to invest in new ventures in characterized by incomplete information and uncertainty, where some measures of firm performance are quantitative, while some others are substituted by qualitative indicators. Influence diagrams are used as a model for representing investment decision problems based on incomplete and uncertain information from a variety of sources. The building of influence diagrams needs much time and efforts and the resulting model such as a decision model is applicable to only one specific problem. However, some prior knowledge from the experience to build decision model can be utilized to resolve other similar decision problems. The basic idea of case-based reasoning is that humans reuse the problem solving experience to solve a new decision. In this paper, we suggest a case-based reasoning approach to build an influence diagram for the class of investment decision problems. This is composed of a retrieval procedure and an adaptation procedure. The retrieval procedure use two suggested measures, the fitting ratio and the garbage ratio. An adaptation procedure is based on a decision-analytic knowledge and decision participants knowledge. Each step of procedure is explained step by step, and it is applied to the investment decision problem in new ventures.

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Partial Image Retrieval Using an Efficient Pruning Method (효율적인 Pruning 기법을 이용한 부분 영상 검색)

  • 오석진;오상욱;김정림;문영식;설상훈
    • Journal of Broadcast Engineering
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    • v.7 no.2
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    • pp.145-152
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    • 2002
  • As the number of digital images available to users is exponentially growing due to the rapid development of digital technology, content-based image retrieval (CBIR) has been one of the most active research areas. A variety of image retrieval methods have been proposed, where, given an input query image, the images that are similar to the input are retrieved from an image database based on low-level features such as colors and textures. However, most of the existing retrieval methods did not consider the case when an input query image is a part of a whole image in the database due to the high complexity involved in partial matching. In this paper, we present an efficient method for partial image matching by using the histogram distribution relationships between query image and whole image. The proposed approach consists of two steps: the first step prunes the search space and the second step performs block-based retrieval using partial image matching to rank images in candidate set. The experimental results demonstrate the feasibility of the proposed algorithm after assuming that the response tune of the system is very high while retrieving only by using partial image matching without Pruning the search space.

A Study on Information Retrieval Effectiveness by Cited References (인용문헌에 의한 정보검색 효과에 관한 고찰)

  • Lee Lanju
    • Journal of the Korean Society for Library and Information Science
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    • v.27
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    • pp.265-289
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    • 1994
  • Databases publicly available for online searching permit both citation and subject searching, however, subject searching has dominated the online search environment. Despite the power of citation searching, it may be underutilized This study explored the relationship between the number of cited references used in a citation search and information retrieval effectiveness, a relatively unstudied phenomenon. Three articles in the library and information science literature were chosen to represent sample questions. Cited reference searches were conducted for each article and each of its references. All searches were conducted in Social Scisearch and Scisearch on DIALOG. Relevance judgments on the retrieved citations were obtained from the authors of the original articles. This research focused on analyzing, in terms of information retrieval effectiveness, the overlap among postings sets retrieved by various combinations of cited references. The findings from the three case studies clearly showed that the more cited references used for the citation search, the better the performance, in terms of retrieving more relevant documents, up to a point of diminishing retums. In addition, generally the overall level of overlap among relevant documents sets was found to be low. Therefore, if only some of the cited references among many candidates are used for a citation search, a significant proportion of relevant documents may be missed. The analysis of the characteristics of cited references provided the ways to predict which cited refereces would be useful to improve information retrieval. The findings of this comprehensive exploratory study are of interest for both theoretical and practical reasons. They contribute to the development of a theoretical model for the effective use of the citation search. This model might also be implemented in operational online systems. In addition, the findings potentially will help online searchers improve their search strategies using the citation search so that they can better achieve their information retrieval goals: the retrieval of items relevant to a given question and the suppression of nonrelevant items.

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Intelligent DB Retrieval System for Marine Accidents Using FCM (FCM을 이용한 지능형 해양사고 DB 검색시스템 구축)

  • Park, Gyei-Kark;Han, Xu;Kim, Young-Ki;Oh, Se-Woong
    • Journal of the Korean Institute of Intelligent Systems
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    • v.19 no.4
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    • pp.568-573
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    • 2009
  • Marine accidents have always caused huge economic losses, as well as environmental pollution. Prevention of marine accidents has become a focus of argumentation. The analysis of past accident cases, reviewing the experience and lessons, is important and necessary for preventing marine accidents. With the same subject above, the Korean Maritime Safety Tribunal provides for past marine accidents' written judgments and analysis of judgment and associated retrieval system on its homepage. In these systems, the name of the ship, accident occurrence time, accident pattern or related keywords are used as search conditions. However, most of the marine events' happening were not due to a single reason, but multiple ones. In addition, one marine event could often come under several categories. In this case, now the retrieval systems' DB is used on the Korean Maritime Safety Tribunal homepage was built based on single category and failed to be able to retrieve according to multiple reasons or multiple categories. In order to solve this problem, a more practical retrieval approach might be needed. Therefore, in this paper, a new retrieval system will be proposed, which using the linguistic label to describe the cluster after analyzing the relational properties between marine accidents and clustering by FCM algorithm, and then adding an interface to allow users to get the results they want through choosing multiple reasons or multiple categories.