• 제목/요약/키워드: 이용자기반 정보검색시스템

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User Satisfaction related Perception of the Web Portal for Scholarly Information: Focused on the Academic Version of NAVER Search Engine (학술정보포털에 대한 이용자만족 관련 인식에 관한 연구 - NAVER 전문정보의 학술자료 검색 기능을 중심으로 -)

  • Kim, Yang-Woo
    • Journal of the Korean Society for Library and Information Science
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    • v.51 no.2
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    • pp.255-279
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    • 2017
  • In a qualitative approach, this study investigated users' perceptions associated with their satisfactions in the process of using the scholarly resource search functions of the academic version of the NAVER search engine. For this study, the data was collected from a group of undergraduate students, who conducted academic information searches in the field of own major disciplinary areas, using the Web portal. Based on the data, students' satisfactions and dissatisfactions along with the reasons of their perceptions were analyzed. The results presented users' perceptions in various evaluation criteria based on the three major domains: system interfaces, retrieval mechanisms and search results. Based on the results, the study proposed the following suggestions: 1) the enhancements of the system interfaces and HELP guidances based the limited user knowledge on basic system terminologies 2) the improvements of the retrieval mechanisms associated with understanding the contexts of the search terms presented by users 3) the necessity of the user education due to the insufficient user knowledge of the retrieval mechanisms and the search functions.

A Knowledge-based Expert System for Selection of Online Business Databases (지식정보자원의 효율적인 이용을 위한 지식 기반 전문가 시스템 구현)

  • 김현희;안태경
    • Proceedings of the Korean Society for Information Management Conference
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    • 2000.08a
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    • pp.89-94
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    • 2000
  • 본 연구에서는 경제, 비즈니스 분야의 정보원을 좀 더 효율적으로 검색하기 위해서 정보/주제 전문가들이 갖고 있는 정보원 선택과 이용에 대한 지식을 획득, 표현하여 정보검색사 또는 최종 이용자들이 공유할 수 있는 웹 기반 전문가 시스템을 구현하였다.

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Design and Implementation of Tag Coupling-based Boolean Query Matching System for Ranked Search Result (태그결합을 이용한 불리언 검색에서 순위화된 검색결과를 제공하기 위한 시스템 설계 및 구현)

  • Kim, Yong;Joo, Won-Kyun
    • Journal of the Korean Society for information Management
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    • v.29 no.4
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    • pp.101-121
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    • 2012
  • Since IR systems which adopt only Boolean IR model can not provide ranked search result, users have to conduct time-consuming checking process for huge result sets one by one. This study proposes a method to provide search results ranked by using coupling information between tags instead of index weight information in Boolean IR model. Because document queries are used instead of general user queries in the proposed method, key tags used as queries in a relevant document are extracted. A variety of groups of Boolean queries based on tag couplings are created in the process of extracting queries. Ranked search result can be extracted through the process of matching conducted with differential information among the query groups and tag significance information. To prove the usability of the proposed method, the experiment was conducted to find research trend analysis information on selected research information. Aslo, the service based on the proposed methods was provided to get user feedback for a year. The result showed high user satisfaction.

Developing and Evaluating an Ontology-based Legal Retrieval System (온톨로지 기반 법률 검색시스템의 구축 및 평가에 관한 연구)

  • Chang, In-Ho
    • Journal of the Korean Society for Library and Information Science
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    • v.45 no.2
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    • pp.345-366
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    • 2011
  • The law affects our daily lives, and hence, constitutes a crucial information resource. However, electronic access to legal information using keyword-based retrieval systems appears to provide users with limited satisfaction. There are many factors behind this inadequacy. First, the discrepancies between formal legal terms and their counterparts in common language are quite large. Second, the situation is further confounded by frequent abbreviations in legal terms. Third, even though there is a constant deluge of legal information, users' needs have evolved to demand more Q and A type searches. All of these factors make the existing retrieval systems inefficient and ineffective. This article suggests an ontology-based system as a means to deal with such difficulties. To that end, a legal retrieval system(experimental system), built on the basis of a newly-constructed law ontology, was tested against a keyword-based legal retrieval system(existing one), yielding data on their relative effectiveness in retrieval and user satisfaction.

A Suggestion of Interface for Ontology-Based Record Retrieval System (온톨로지 기반의 기록물 검색 시스템을 위한 인터페이스 제안)

  • Lee, Yu-Been;Rieh, Hae-Young
    • Journal of Korean Society of Archives and Records Management
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    • v.17 no.1
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    • pp.217-244
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    • 2017
  • With the development of information technology, users can freely search records and archives without the involvement of archivists. However, existing records retrieval systems show only partial search results, which do not consider the users' intention. To overcome this problem, semantic web technology is being developed, and the International Council on Archives (ICA) is working to develop RIC (Records In Context), a new archival description standard, which reflects the trend. The conceptual model for archival description and its ontology of RIC are the basis for implementing semantic-based retrieval. In other words, it is necessary to consider the viewpoint of the users on how the records retrieval based on meaning should be designed and provided. Therefore, this study selected three cases of systems, which are built as semantic web technology, and conducted interviews of the users for the evaluation of the systems based on user experience. This study proposes the kind of interface that can be implemented for the ontology-based record retrieval system.

Social Search in the Context of Social Navigation (사회적 네비게이션 기반 사회적 검색)

  • Ahn, Jae-Wook;Farzan Rosta;Brusilovsky Peter
    • Journal of the Korean Society for information Management
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    • v.23 no.2
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    • pp.147-165
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    • 2006
  • The explosive growth of Web-based educational resources requires a new approach for accessing relevant information effectively. Social searching in the context of social navigation is one of several answers to this problem, in the domain of information retrieval. It provides users with not merely a traditional ranked list, but also with visual hints which can guide users to information provided by their colleagues. A personalized and context-dependent social searching system has been implemented on a platform called KnowledgeSea II, an open-corpus Web-based educational support system with multiple access methods. Validity tests were run on a variety of aspects and results have shown that this is an effective way to help users access relevant, essential information.

A Development of A Movie Contents Retrieval System based on Meta Data of Movie Information (영상정보 메타데이터 기반의 영화 Contents 검색 시스템 개발)

  • Kwak, Kil-Sin;Joo, Kyung-Soo
    • Annual Conference of KIPS
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    • 2004.05a
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    • pp.43-46
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    • 2004
  • 웹상에서 제공되는 영상정보 자원의 양이 급증하고 이용자들의 문화적인 수요가 높아진 것에 비해 영상정보를 포괄적으로 기술할 수 있는 체계적인 서지기술은 부족한 실정이다. 기존의 영상정보 기술 메타데이터 요소로는 이용자가 탐색하고자 하는 정보자원을 적절하게 검색하거나 혹은 검색된 자원 중에서 서로 연관성이 있는 정보를 그룹화하여 보여주는 것이 불가능하다[1]. 따라서 영상정보 자원이 지니는 다양한 수준과 다양한 측면의 특성을 표현해 내기 위해 국내에서 제안된 영상정보 분야의 새로운 메타데이터 표준이 제시되었다. 본 논문에서는 제안된 영상정보 분야의 메타데이터를 기반으로 하는 영화 Context 검색 엔진을 개발하였고, 이에 따라 추후에 적절한 정보자원의 검색과 연관성 있는 정보의 그룹화로의 확장을 가능하게 할 것이다.

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Designing Researcher Information Retrieval Interface based on Ontological Analysis (온톨로지 기반의 연구자정보 검색 인터페이스 설계)

  • Seo, Eun-Gyoung;Park, Mi-Hyang
    • Journal of the Korean Society for information Management
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    • v.26 no.2
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    • pp.173-194
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    • 2009
  • Recently, semantic search techniques which are based on information space as consisting of nonambiguous, non-redundant, formal pieces of ontological knowledge have been developed so that users do exploit large knowledge bases. The purpose of the study is to design more user-friendly and smarter retrieval interface based on ontological analysis, which can provide more precise information by reducing semantic ambiguity or more rich linked information based on well-defined relationships. Therefore, this study, first of all, focuses on ontological analysis on researcher information as selecting descriptive elements, defining classes and properties of descriptive elements, and identifying relationships between the properties and their restriction between relationships. Next, the study designs the prototypical retrieval interface based on ontology-based representation, which supports to semantic searching and browsing regarding researchers as a full-fledged domain. On the proposed retrieval interface, users can search various facts for researcher information such as research outputs or the personal information, or carrier history and browse the social connection of the researchers such as researcher group that is lecturing or researching on the same subject or involving in the same intellectual communication.

A Usability Evaluation on the Visualization Techniques of Web Retrieval Results (웹 검색 결과 시각화 기법의 사용성 평가에 관한 연구)

  • Kim, Seong-Hee;Kim, Moon-Jeong
    • Journal of the Korean Society for Library and Information Science
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    • v.41 no.3
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    • pp.181-199
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    • 2007
  • This study is to suggest the usefulness of visualization techniques to display web retrieval results. We described the concept of visualization techniques and evaluated the usability for the SearchCrystal and KartOO search engines which provide visualization techniques for displaying the retrieval results. As a result, Searchcrystal search engine had higher score than KartOO system in terms of usability check lists.

Design and Implementation of Interactive Search Service based on Deep Learning and Morpheme Analysis in NTIS System (NTIS 시스템에서 딥러닝과 형태소 분석 기반의 대화형 검색 서비스 설계 및 구현)

  • Lee, Jong-Won;Kim, Tae-Hyun;Choi, Kwang-Nam
    • Journal of Convergence for Information Technology
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    • v.10 no.12
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    • pp.9-14
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    • 2020
  • Currently, NTIS (National Technology Information Service) is building an interactive search service based on artificial intelligence technology. In order to understand users' search intentions and provide R&D information, an interactive search service is built based on deep learning models and morpheme analyzers. The deep learning model learns based on the log data loaded when using NTIS and interactive search services and understands the user's search intention. And it provides task information through step-by-step search. Understanding the search intent makes exception handling easier, and step-by-step search makes it easier and faster to obtain the desired information than integrated search. For future research, it is necessary to expand the range of information provided to users.