• Title/Summary/Keyword: Text description

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Description-Based Multimedia Clipart Retrieval in WWW

  • Kim, Hion-Gun;Sin, Bong-Kee;Song, Ju-Won
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 1998.06b
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    • pp.111-115
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    • 1998
  • The Internet today is teemed with not only text data but also other media such as sound, still and moving images in a variety of formats. Unlike text, however, that can be retrieved easily with the help of numerous search engines, there has been few way to access data of other media unless the exact location or the URL is known. Multimedia data in the WWW are contained in or linked via anchors in the hyper-documents. They can most reliably be retrieved by analyzing the binary data content, which is far from being practical yet by the current state of the art. Instead we present another technique of searching based on textual descriptions which are found at or around the multimedia objects. The textual description used in this research includes file name (URL), anchor text and its context, alternative descriptions found in ALT HTML tage. These are actually the clues assumedly relevant to the contents. Although not without a possibility of missing or misinterpreting images and sounds, the description-based search is highly practical in terms of computation. The prototype search engine will soon be deployed to the public service through the prestige search engine, InfoDetective, in Korea.

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Integrated Patient Information Management System (환자 정보 통합 관리 시스템의 개발)

  • Jung, Sug-Hee;Park, Seung-Hun;Woo, Eung-Je
    • Proceedings of the KOSOMBE Conference
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    • v.1996 no.11
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    • pp.45-47
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    • 1996
  • we developed an information management system that manages various types of medical information such as text, image, sound, and laboratory data. We also developed a multimedia description system, in which medical doctors can describe his findings and interpretations with text and speech. The descriptions include the references to the data items stored in the information management systems. The communication between the description system and the information management systems is carried out using OLE/COM mechanism. The information management system was implemented by using Microsoft Open Data Base Connectivity(ODBC).

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A Study of Patent Document Processing by SGML (SGML을 이용한 특허정보처리 연구)

  • Kwon, Young-Sook
    • Journal of Information Management
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    • v.30 no.3
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    • pp.44-54
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    • 1999
  • A description of SGML(Standard Generalized Markup Language) is given together with a detailed description of WIPO Standard ST.32. The benefits of the use of SGML are highlighted-its system Independence and flexibility in building publication systems and full-text databases. A structure of WIPO Standard ST,32 based patent content is defined by DTD(document type definition) written in ST.32, and full-text itself is described with generalized markup depending on DTD. This article explains how to represent a document structure : a hierarchy structure like a entire document, a specific, sub-document, a paragraph, or non-hirarchy structure like a table drawings, or chemical structures. Merits of SGML In patent document processing are also discussed.

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Building a Hierarchy of Product Categories through Text Analysis of Product Description (텍스트 분석을 통한 제품 분류 체계 수립방안: 관광분야 App을 중심으로)

  • Lim, Hyuna;Choi, Jaewon;Lee, Hong Joo
    • Knowledge Management Research
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    • v.20 no.3
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    • pp.139-154
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    • 2019
  • With the increasing use of smartphone apps, many apps are coming out in various fields. In order to analyze the current status and trends of apps in a specific field, it is necessary to establish a classification scheme. Various schemes considering users' behavior and characteristics of apps have been proposed, but there is a problem in that many apps are released and a fixed classification scheme must be updated according to the passage of time. Although it is necessary to consider many aspects in establishing classification scheme, it is possible to grasp the trend of the app through the proposal of a classification scheme according to the characteristic of the app. This research proposes a method of establishing an app classification scheme through the description of the app written by the app developers. For this purpose, we collected explanations about apps in the tourism field and identified major categories through topic modeling. Using only the apps corresponding to the topic, we construct a network of words contained in the explanatory text and identify subcategories based on the networks of words. Six topics were selected, and Clauset Newman Moore algorithm was applied to each topic to identify subcategories. Four or five subcategories were identified for each topic.

Applications of the Text Mining Approach to Online Financial Information

  • Hansol Lee;Juyoung Kang;Sangun Park
    • Asia pacific journal of information systems
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    • v.32 no.4
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    • pp.770-802
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    • 2022
  • With the development of deep learning techniques, text mining is producing breakthrough performance improvements, promising future applications, and practical use cases across many fields. Likewise, even though several attempts have been made in the field of financial information, few cases apply the current technological trends. Recently, companies and government agencies have attempted to conduct research and apply text mining in the field of financial information. First, in this study, we investigate various works using text mining to show what studies have been conducted in the financial sector. Second, to broaden the view of financial application, we provide a description of several text mining techniques that can be used in the field of financial information and summarize various paradigms in which these technologies can be applied. Third, we also provide practical cases for applying the latest text mining techniques in the field of financial information to provide more tangible guidance for those who will use text mining techniques in finance. Lastly, we propose potential future research topics in the field of financial information and present the research methods and utilization plans. This study can motivate researchers studying financial issues to use text mining techniques to gain new insights and improve their work from the rich information hidden in text data.

Design and Implementation of a Improved Cipher Web Mail System using a Chaos Cipher (카오스 암호를 이용한 개선된 암호화 웹 메일 시스템의 설계와 구현)

  • Kim Dae-Young;Kim Tae-Sik
    • The KIPS Transactions:PartD
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    • v.13D no.3 s.106
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    • pp.437-444
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    • 2006
  • A chaos cipher system that focuses on the stream cipher system has a demerit that the longer the text is, the slower the speed of the encryption and description and the transmission and reception. On this study, we designed the cipher web mail system showing much better capabilities than the existing web mail system as the text is longer. In the embodiment of the cipher web mail system, we developed the key stream, the encryption and description of the text and the inside and outside mail viewer and so on. After the efficiency test, it was valued high in the respect of the speed of the encryption and description and the transmission and reception. And it made up for the defect of the stream cipher system. We expect that we can use it through the persistent applied study in the server system security, the file security, the security of the internet information, the protection of the e-commerce system information and other fields based on the cipher technique as the wide use cipher system that can replace the block cipher system.

Keywords Refinement using TextRank Algorithm (TextRank를 이용한 키워드 정련 -TextRank를 이용한 집단 지성에서 생성된 콘텐츠의 키워드 정련-)

  • Lee, Hyun-Woo;Han, Yo-Sub;Kim, Lae-Hyun;Cha, Jeong-Won
    • 한국HCI학회:학술대회논문집
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    • 2009.02a
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    • pp.285-289
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    • 2009
  • Tag is important to retrieve and classify contents. However, someone uses so many unrelated tags with contents for the high ranking In this work, we propose tag refinement algorithm using TextRank. We calculate the importance of keywords occurred a title, description, tag, and comments. We refine tags removing unrelated keywords from user generated tags. From the results of experiments, we can see that proposed method is useful for refining tags.

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Automatic Name Line Detection for Person Indexing Based on Overlay Text

  • Lee, Sanghee;Ahn, Jungil;Jo, Kanghyun
    • Journal of Multimedia Information System
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    • v.2 no.1
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    • pp.163-170
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    • 2015
  • Many overlay texts are artificially superimposed on the broadcasting videos by humans. These texts provide additional information to the audiovisual content. Especially, the overlay text in news videos contains concise and direct description of the content. Therefore, it is most reliable clue for constructing a news video indexing system. To make the automatic person indexing of interview video in the TV news program, this paper proposes the method to only detect the name text line among the whole overlay texts in one frame. The experimental results on Korean television news videos show that the proposed framework efficiently detects the overlaid name text line.

The Effect of Text Genre on Parent's Reading Behavior : Joint Picture Book Reading (그림책 읽어주기에서 그림책의 종류가 부모의 읽기 행동에 미치는 영향)

  • Kim, Jung Wha
    • Korean Journal of Child Studies
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    • v.27 no.5
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    • pp.95-107
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    • 2006
  • This study measured various types of joint book reading behaviors of parents of preschool children using two different text genres. Participants were the parents of 35 preschool children 4 years of age. Parent-child dyads were videotaped during periods of joint book reading using two different types of text(informational and narrative). Results indicated differences in maternal behavior between the two types of texts. The informational book elicited a higher amount of print concept behaviors and more content behavior while reading the narrative book. Among content-related behaviors parents used more labeling during the informational genre. On the other hand, parents' use of description and judgment were significantly higher in the narrative genre compared with the informational genre.

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