• Title/Summary/Keyword: Retrieval Based Model

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하이퍼텍스트 정보검색에 관한 연구

  • 이영자
    • Journal of Korean Library and Information Science Society
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    • v.18
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    • pp.91-138
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    • 1991
  • The paper describes the application areas of the hypertext and the relevance of hypertext principles to the information retrieval system. As to the techniques of the hypertext information retrieval the various navigation method including a guided tour, a history list, a browser, a book-mark, etc. are discussed. The query system is considered as the other technique to be integrated into the hypertext system for the enhancement of the interactive function of the information retrieval. Based on the theoretical background, a conceptual model of hypertext information retrieval system was constructed using GUIDE which was developed by P.J. Brown of Kent University. 16 bibliographic records from LISA of 1991(June) were used for the illustration of the basic operation of the system. Though the study could not reach the implementation level due to the absolute constraints of the time and experimental environments, further efforts will continue to develop a prototype system of a hypertext information retrieval. A few conclusions can be derived from the study : (1) The integration of the hypertext into the information retrieval system can be justified by permitting the end-users to have much stronger and more flexible interaction with the system. (2) The more the degree of the sofistication of the existing information retrieval system is the more the possibility of the development of an effective and user-oriented information retrieval system will be greater by integrating guide as a front end system to the underlying software. (3) The deep knowledge about the functions of information retrieval which can be enhanced by the hypertext could be acquired by the information retrieval specialists.

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Component Design and Retrieval ProtoType Using Object Model (객체모델을 이용한 컴포넌트 설계 및 검색 프로토타입)

  • Keun, Lim
    • Journal of the Korea Society of Computer and Information
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    • v.11 no.6 s.44
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    • pp.27-33
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    • 2006
  • In this thesis, we presents the component design and retrieval prototype system which can retrieve the most appropriate component for reuse system. If it used only an abject to reuse unit, it can not understand mutual reaction and can not sustain relationship between objects. Therefore, we porposed clustering component for reuse unit. It makes to understand relationship and reaction between object, so User can retrieve the proper component for reuse system. And porposed retrieval prototype system can select the correct things. it provide 3 facet retrieval environment against ambiguous retrieval definition.

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Keyword Retrieval-Based Korean Text Command System Using Morphological Analyzer (형태소 분석기를 이용한 키워드 검색 기반 한국어 텍스트 명령 시스템)

  • Park, Dae-Geun;Lee, Wan-Bok
    • Journal of the Korea Convergence Society
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    • v.10 no.2
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    • pp.159-165
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    • 2019
  • Based on deep learning technology, speech recognition method has began to be applied to commercial products, but it is still difficult to be used in the area of VR contents, since there is no easy and efficient way to process the recognized text after the speech recognition module. In this paper, we propose a Korean Language Command System, which can efficiently recognize and respond to Korean speech commands. The system consists of two components. One is a morphological analyzer to analyze sentence morphemes and the other is a retrieval based model which is usually used to develop a chatbot system. Experimental results shows that the proposed system requires only 16% commands to achieve the same level of performance when compared with the conventional string comparison method. Furthermore, when working with Google Cloud Speech module, it revealed 60.1% of success rate. Experimental results show that the proposed system is more efficient than the conventional string comparison method.

Hypertext Retrieval System Using XLinks (XLinks를 이용한 하이퍼텍스트 검색 시스템)

  • Kim, Eun-Jeong;Bae, Jong-Min
    • The KIPS Transactions:PartD
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    • v.8D no.5
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    • pp.483-494
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    • 2001
  • Most of hypertext retrieval models consider documents as independent entities. They ignore relationships between documents of link semantics. in an information retrieval system for hypertext documents, retrieval effectiveness can be improved when ling information is used. Previous link-based hypertext retrieval models ignore link information while indexing. They utilize link information to re-rank the retrieval results. Therefore they are limited that only the documents is result-set utilize link information. This paper utilizes link information when indexing. We present how to use term weighting and inLinks weighting for ranking the relevant documents. Experimental results show that recall and precision evaluation according to the link semantics and the comparison with previously link_based hypertext retrieval model.

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A Study on the Performance Enhancement of Content-based Image Retrieval Systems Using Lighting Directions (빛의 방향을 이용한 내용기반 이미지 검색 시스템의 효율성 향상에 관한 연구)

  • 안재욱;문성빈
    • Journal of the Korean Society for information Management
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    • v.17 no.4
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    • pp.157-170
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    • 2000
  • CHROMA. a content-based image rctl-ieval syslem lhas inlroduced a perceptual color modcl, which can siinulatc the visual perceplual process of lhuman beings and eliminate ihe l~roblem ol condilional color variations. Th~s model Ihoweve~ rcgarded shadows and rcllcctions as u n k ~ ~ o u ~ i colors. and took no account of ihe inforclation which can bc gamed from them Th~s ~tudy atlempls Lo estnnale (he unbhown colors using i~ght~ng dil-cclions and lo prove that the process ol unknown colol eslimation can enhance the lperformance o l image retrieval syslems. With the ckperimcntal results, it was concludcd that thc model pmposcd in this study can enhance the perfomancc of content-based image retrieval systems using Lhe ]~ercepiual color model.

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An Experiment on Automatic Query Modification In Information Retrieval Using the Relevance Feedback (이용자 피이드백에 의한 검색질문의 자동 수정에 관한 연구)

  • Shin, Young-Shil
    • Journal of the Korean Society for information Management
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    • v.2 no.1
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    • pp.108-135
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    • 1985
  • When an information retrieval system is implemented on-line, users can interact with the system to improve the searches. There are studies which achieved dramatic improvements in system effectiveness by using automatic relevance feedback, a technique for reformulating a patron query based on initial retrieval result. In this thesis, an automatic query modification model was applied to a controlled keyword system.

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A Conceptual Framework for an Information Behavior Model Based on the Collaboration Perspective between User and System for Information Retrieval

  • Yangyuen, Wachira;Phetkaew, Thimaporn;Nuntapichai, Siwanath
    • Journal of Information Science Theory and Practice
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    • v.8 no.3
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    • pp.30-46
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    • 2020
  • This research aimed (1) to study and analyze the ability of current information retrieval (IR) systems based on views of information behavior (IB), and (2) to propose a conceptual framework for an IB model based on the collaboration between the system and user, with the intent of developing an IR system that can apply intelligent techniques to enhance system efficiency. The methods in this study consisted of (1) document analysis which included studying the characteristics and efficiencies of the current IR systems and studying the IB models in the digital environment, and (2) implementation of the Delphi technique through an indepth interview method with experts. The research results were presented in three main parts. First, the IB model was categorized into eight stages, different from traditional IB, in the digital environment, which can correspond to all behaviors and be applied to with an IR system. Second, insufficient functions and log file storage hinder the system from effectively understanding and accommodating user behavior in the digital environment. Last, the proposed conceptual framework illustrated that there are stages that can add intelligent techniques to the IR system based on the collaboration perspective between the user and system to boost the users' cognitive ability and make the IR system more user-friendly. Importantly, the conceptual framework for the IB model based on the collaboration perspective between the user and system for IR assisted the ability of information systems to learn, recognize, and comprehend human IB according to individual characteristics, leading to enhancement of interaction between the system and users.

A Design and Implementation of XML Document storing and retrieval Framework based on a variant k-ary complete tree and RDF Metadata (가변 K진 완전트리와 RDF메타정보에 기반한 XML문서 저장 및 검색 프레임워크의 설계 및 구현)

  • 김규태;정회경;이수연
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.7 no.4
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    • pp.612-622
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    • 2003
  • This paper studied and proposed a XML document storing-and-retrieval framework based on a variant k-ary complete tree and a RDF metadata, which is composed of an effective storing module to store xml documents, a retrieving module to retrieve xml documents, and a connecting module to make this system intemperate in the web environment. In this storing module, DTD independent DOM based decomposition model using a method of addressing unique ill using a variant k-ary complete tree is adopted and is implemented. Query Processing Module includes a XPath query process and a content based retrieval function using word index for content information. To retrieve more exactly data, a structural retrieval using RDF metadata is adopted and implemented. In order to implement effectively XML document storing and retrieval system in the web environment, API using XML-RPC, API using HTTP's GET, PUT, POST and API using SOAP have been adopted and implemented.

Information Retrieval System : Condor (콘도르 정보 검색 시스템)

  • 박순철;안동언
    • Journal of Korea Society of Industrial Information Systems
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    • v.8 no.4
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    • pp.31-37
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    • 2003
  • This paper is a review of the large-scale information retrieval system, CONDOR. This system was developed by the consortium that consists of Chonbuk National University, Searchline Co. and Carnegie Mellon University. This system is based on the probabilistic model of information retrieval systems. The multi-language query processing, online document summarization based on query and dynamic hierarchy clustering of this system make difference of other systems. We test this system with 30 million web documents successfully.

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Formal Modeling and Verification of an Information Retrieval System using SMV

  • Kim, Jong-Hwan;Park, Hea-Sook;Baik, Doo-Kwon
    • Proceedings of the Korea Society for Simulation Conference
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    • 2001.10a
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    • pp.141-146
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    • 2001
  • An Information Retrieval System offers the integrated view of SCM(Supply Chain Management) information to the enterprise by making it possible to exchange data between regionally distributed heterogeneous computers and also to enable these computers to access various types of databases. The Information Retrieval System is modeled using Data Registry Model based on X3.285. We only verify the MetaData Registry Manager(MDR Manager) among the core parts using SMV(Symbolic Model Verifier) in order to verify whether our model satisfies the requirements under the given assumptions.

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