• Journal of Information Science Theory and Practice
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• 제4권3호
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• pp.71-83
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• 2016

Purpose. The purpose of this paper is to analyze and evaluate discovery layer search tools for retrieval of legal information in Indian law libraries. This paper covers current practices in legal information retrieval with special reference to Indian academic law libraries, and analyses its importance in the domain of law.Design/Methodology/Approach. A web survey and observational study method are used to collect the data. Data related to the discovery tools were collected using email and further discussion held with the discovery layer/ tool /product developers and their representatives.Findings. Results show that most of the Indian law libraries are subscribing to bundles of legal information resources such as Hein Online, JSTOR, LexisNexis Academic, Manupatra, Westlaw India, SCC web, AIR Online (CDROM), and so on. International legal and academic resources are compatible with discovery tools because they support various standards related to online publishing and dissemination such as OAI/PMH, Open URL, MARC21, and Z39.50, but Indian legal resources such as Manupatra, Air, and SCC are not compatible with the discovery layers. The central index is one of the important components in a discovery search interface, and discovery layer services/tools could be useful for Indian law libraries also if they can include multiple legal and academic resources in their central index. But present practices and observations reveal that discovery layers are not providing facility to cover legal information resources. Therefore, in the present form, discovery tools are not very useful; they are an incomplete and half solution for Indian libraries because all available Indian legal resources available in the law libraries are not covered.Originality/Value. Very limited research or published literature is available in the area of discovery layers and their compatibility with legal information resources.

• Journal of Information Processing Systems
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• 제17권5호
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• pp.1020-1033
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• 2021

Nowadays, online or mobile social network services (SNS) are very popular and widely spread in our society and daily lives to instantly share, disseminate, and search information. In particular, SNS such as YouTube, Flickr, Facebook, and Amazon allow users to upload billions of images or videos and also provide a number of multimedia information to users. Information retrieval in multimedia-rich SNS is very useful but challenging task. Content-based media retrieval (CBMR) is the process of obtaining the relevant image or video objects for a given query from a collection of information sources. However, CBMR suffers from the dimensionality curse due to inherent high dimensionality features of media data. This paper investigates the effectiveness of the kernel trick in CBMR, specifically, the kernel principal component analysis (KPCA) for dimensionality reduction. KPCA is a nonlinear extension of linear principal component analysis (LPCA) to discovering nonlinear embeddings using the kernel trick. The fundamental idea of KPCA is mapping the input data into a highdimensional feature space through a nonlinear kernel function and then computing the principal components on that mapped space. This paper investigates the potential of KPCA in CBMR for feature extraction or dimensionality reduction. Using the Gaussian kernel in our experiments, we compute the principal components of an image dataset in the transformed space and then we use them as new feature dimensions for the image dataset. Moreover, KPCA can be applied to other many domains including CBMR, where LPCA has been used to extract features and where the nonlinear extension would be effective. Our results from extensive experiments demonstrate that the potential of KPCA is very encouraging compared with LPCA in CBMR.

• 한국전자거래학회:학술대회논문집
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• 한국전자거래학회 1999년도 학술대회지 vol.2
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• pp.575-586
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• 1999

The advent of the Internet and the enormous increase in volume of electronically stored information (SGML, Image, Sound, etc.) has led to substantial work on IR(Information Retrieval). To service on the WWW, construction and retrieval technology of SGML, which is the fundamental standard data format for CALS/EC, is needed specially. Due to such a change, it becomes essential to change the existing paradigm of conventional information retrieval systems and to adopt new Internet service system with search engine, SGML browser and advanced Internet technology on WWW. KIPRIS(Korea Industrial Property Rights Information Service), which is the specialized and integrated Internet service systems in the field of industrial property rights information service, is trying to be a guide for our country to establish its technological competitiveness with providing the online service of high quality. The objective of the paper identifies features and technologies of KIPRIS IR(Information Retrieval) system based on WWW as follows. First, it describes the development background and process of KIPRIS. Second, it presents a fundamental technology that consists of IR(Information Retrieval) concept, BRS(Bibliographical Retrieval System) search engine, SGML implementation technologies and the Internet/WWW technologies. Third, it provides information about system configuration, architecture, and the features and characteristics of KIPRIS. Finally, the implemented KIPRIS system is introduced.

• 정보교육학회논문지
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• 제23권6호
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• pp.551-560
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• 2019

고도화된 정보 시대의 학습은 학습자가 컴퓨터와 인터넷을 통해 정보자원에 접근하여 정보를 자기주도적으로 습득하고 평가하는 활동이라 할 수 있다. 4차 산업혁명 기술에 기반한 온라인 학습 플랫폼의 등장은 구성주의 학습이론에 기반하여 초중등 학습자가 자기주도적으로 정보를 검색하여 학습하는 환경으로 발전하고 있다. 온라인 학습환경에서 초중등 학습자의 정보검색 능력과 자기주도학습 능력에 대한 기존 연구를 살펴보면, 변인간의 긍정적 관련성이 높은 것으로 분석되었다. 하지만, 이는 특정 교과 수업과 콘텐츠에 국한된 횡단적인 연구로 보다 확장된 형태의 종단적인 연구를 통해 정보검색 능력과 자기주도학습 능력 간의 관련성을 분석해볼 필요가 있다. 본 연구에서는 8년 동안 수집된 서울교육종단연구의 패널데이터를 활용하여 정보검색 능력과 정보검색 빈도의 종단적인 패턴에 따른 자기주도학습 능력의 차이를 밝히고자 한다.

• 한국정보관리학회:학술대회논문집
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• 한국정보관리학회 1996년도 제3회 학술대회 논문집
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• pp.11-14
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• 1996

The purpose of this study is to verify the hypothesis that the end-user's standards of the selection over retrieved documents affect the selecting of relevant documents after online bibliographic databases searching. To achieve the above-mentioned purpose, online-questionnaires were distributed, via e-mail, to end-users of using online bibliographic databases.

• Journal of information and communication convergence engineering
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• 제7권3호
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• pp.275-280
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• 2009

While database(DB) and information retrieval(IR) have been developed independently, there have been emerging requirements that both data management and efficient text retrieval should be supported simultaneously in an information system such as health care, customer support, XML data management, and digital libraries. The great divide between DB and IR has caused different manners in index maintenance for newly arriving documents. While DB has extended its SQL layer to cope with text fields due to lack of intact mechanism to build IR-like index, IR usually treats a block of new documents as a logical unit of index maintenance since it has no concept of integrity constraint. However, In the DB-IR integrations, a transaction on adding or updating a document should include maintenance of the posting lists accompanied by the document. Although DB-IR integration has been budded in the research filed, the issue will remain difficult and rewarding areas for a while. One of the primary reasons is lack of efficient online transactional index maintenance. In this paper, performance of a few strategies for per-document basis transactional index maintenance - direct index update, pulsing auxiliary index and posting segmentation index - will be evaluated. The result shows that the pulsing auxiliary strategy and posting segmentation indexing scheme, can be a challenging candidates for text field indexing in DB-IR integration.

• 정보관리학회지
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• 제5권1호
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• pp.79-103
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• 1988

ETLARS-2 시스템은 기개발되어 운영해온 ETLARS 시스템의 기능을 대폭 확장, 개선하여 개발한 시스템으로, 다수의 Database를 통합 운영할 수 있음은 물론 1 Byte 영문 정보와 2Byte 한글 정보를 모두 처리할수 있는 한글 정보 검색 시스템이다. 본 고에서는 ETLARS-2 한글 정보 검색 시스템의 온라인 검색 프로그램의 개발에 관한 내용을 기술하 였다.

• 정보관리학회지
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• 제4권1호
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• pp.24-46
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• 1987

최근 원문 데이타베이스의 증가는 주제접근의 새로운 가능성을 제시하였다. 온라인 정보검색은 근본적으로 색인언어와 컴퓨터 기술의 문제이다. 본 연구의 목적은 전통적인 서지 데이타베이스 검색과 비교하여 원문 데이터 베이스 검색의 특징과 성능을 규명하는데 있다. 색인언어에 따른 검색효율, 현재 응용되고 있는 원문 데이타베이스 탐색 시스템, 통제어휘의 새로운 역할 등을 살펴보았다. 이 논문은 또한 원문 데이타베이스의 검색성능 실험에 대한 리뷰를 포함한다.

• International Journal of Knowledge Content Development & Technology
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• 제5권1호
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• pp.49-68
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• 2015

Given a query (a health question), retrieval of relevant frequently asked questions (FAQs) is essential as the FAQs provide both reliable and readable information to healthcare consumers. The retrieval requires the estimation of the semantic similarity between the query and each FAQ. The similarity estimation is challenging as semantic structures of Chinese healthcare FAQs are quite different from those of the FAQs in other domains. In this paper, we propose a conceptual model for Chinese healthcare FAQs, and based on the conceptual model, present a technique ECA that estimates conceptual similarities between FAQs. Empirical evaluation shows that ECA can help various kinds of retrievers to rank relevant FAQs significantly higher. We also make ECA online to provide services for FAQ retrievers.

• 정보관리학회지
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• 제2권1호
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• pp.70-95
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• 1985

본 연구의 목적은 다음의 두 가설을 규명하기 위함이다. 첫째, 온라인 서비스의 특성은 근본적으로는 정보축적 매체의 변형에 따른 참고봉사의 자동화 연장이므로 전통적인 도서관 환경에 온라인 정보검색 서비스를 도입할 경우 궁극적으로 봉사업무를 실행하는 곳은 참고업무 부분이 된다. 따라서 데이터베이스 검색 서비스는 재래식 참고봉사를 보충하고 개선시키면서 완전히 통합될 때에 참고업무 전반에 걸쳐 변화를 줄 것이다. 둘째, 인쇄 출판물 자료속에서 탐색 제한을 받던 참고질문이 데이터베이스 검색 서비스로 가능해 지면, 서비스의 질적 향상과 함께 참고사서의 능률을 증대시킬 것이다. 또한 참고사서에 대한 이미지 향상과 전문직에 대한 인식 고취는 도서관 이용자를 증가시킬 것이다. 이러한 영향을 밝히기 위하여 "DIALOG" 데이터베이스 검색 서비스를 제공하고 있는 4개 전문도서관의 실태를 조사, 분석하여 참고하였다.