• Title/Summary/Keyword: subject indexing

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Performance Analysis of Tree-based Indexing Scheme for Trajectories Processing of Moving Objects (이동객체의 궤적처리를 위한 트리기반 색인기법의 성능분석)

  • Shim, Choon-Bo;Shin, Yong-Won
    • Journal of the Korean Association of Geographic Information Studies
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    • v.7 no.4
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    • pp.1-14
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    • 2004
  • In this study, we propose Linktable based on extended TB-Tree(LTB-Tree) which can improve the performance of existing TB (Trajectory-Bundle)-tree proposed for indexing the trajectory of moving objects in GIS Applications. In addition, in order to evaluate proposed indexing scheme, we take into account as follows. At first, we select existing R*-tree, TB-tree, and LTB-tree as the subject of performance evaluation. Secondly, we make use of random data set and real data set as experimental data. Thirdly, we evaluate the performance with respect to the variation of size of memory buffer by considering the restriction of available memory of a given system. Fourth, we test them by using the experimental data set with a variation of data distribution. Finally, we think over insertion and retrieval performance of trajectory query and range query as experimental measures. The experimental results show that the proposed indexing scheme, LTB-tree, gains better performance than traditional other schemes with respect to the insertion and retrieval of trajectory query.

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Method of Improving Personal Name Search in Academic Information Service

  • Han, Heejun;Lee, Seok-Hyoung
    • International Journal of Knowledge Content Development & Technology
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    • v.2 no.2
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    • pp.17-29
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    • 2012
  • All academic information on the web or elsewhere has its creator, that is, a subject who has created the information. The subject can be an individual, a group, or an institution, and can be a nation depending on the nature of the relevant information. Most information is composed of a title, an author, and contents. An essay which is under the academic information category has metadata including a title, an author, keyword, abstract, data about publication, place of publication, ISSN, and the like. A patent has metadata including the title, an applicant, an inventor, an attorney, IPC, number of application, and claims of the invention. Most web-based academic information services enable users to search the information by processing the meta-information. An important element is to search information by using the author field which corresponds to a personal name. This study suggests a method of efficient indexing and using the adjacent operation result ranking algorithm to which phrase search-based boosting elements are applied, and thus improving the accuracy of the search results of personal names. It also describes a method for providing the results of searching co-authors and related researchers in searching personal names. This method can be effectively applied to providing accurate and additional search results in the academic information services.

Discipline-based Descriptors for Image Retrieval: Representing Presidential Images of Korea (이미지 검색을 위한 영역별 기술어에 관한 연구 - 한국의 대통령 사진기록물을 중심으로 -)

  • Kim, Yang-Woo
    • Journal of the Korean Society for Library and Information Science
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    • v.42 no.1
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    • pp.253-272
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    • 2008
  • While relevant studies emphasize the significance of user-oriented indexing associated with fulfilling both topical and non-topical needs of individual users, a great number of operational retrieval systems supports only those searches related to subject attributes of the users' needs. Retrieval systems for presidential image collections are not an exception for such a restriction. Upon this reality. this study seeks diversification of access points for presidential images based on descriptors directly presented by potential user groups. Improvements of subject-based descriptors are suggested based on those descriptors identified.

A Study of Designing the Knowledge Base System for the Query Extension by Index File (색인파일 기반의 질의어 확장용 지식베이스 구축에 관한 연구)

  • Seo, Whee
    • Journal of Korean Library and Information Science Society
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    • v.40 no.2
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    • pp.139-159
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    • 2009
  • This study is to develop knowledge base system for query extension to the user oriented information retrieval. This study has survey the theories of the concept-based information retrieval method and statistic based information retrieval method. In the construction method of knowledge base, the common hypothesis is that the emergence of related term is the frequency of simultaneous emergence of a set of documents. Using the subject index file algorithms and the 'and' operator of boolean logic based on this hypothesis, this study builds the knowledge base. In this research experiment, a subject of knowledge base is education. Using the book of the Introduction to Education, two experimental knowledge base systems is constructed by the different indexing method. One system has constructed by controlled language indexing method, and another system has constructed by natural language indexing method. The performance of two knowledge base system is evaluated.

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Automatic Korean to English Cross Language Keyword Assignment Using MeSH Thesaurus (MeSH 시소러스를 이용한 한영 교차언어 키워드 자동 부여)

  • Lee Jae-Sung;Kim Mi-Suk;Oh Yong-Soon;Lee Young-Sung
    • The KIPS Transactions:PartB
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    • v.13B no.2 s.105
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    • pp.155-162
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    • 2006
  • The medical thesaurus, MeSH (Medical Subject Heading), has been used as a controlled vocabulary thesaurus for English medical paper indexing for a long time. In this paper, we propose an automatic cross language keyword assignment method, which assigns English MeSH index terms to the abstract of a Korean medical paper. We compare the performance with the indexing performance of human indexers and the authors. The procedure of index term assignment is that first extracting Korean MeSH terms from text, changing these terms into the corresponding English MeSH terms, and calculating the importance of the terms to find the highest rank terms as the keywords. For the process, an effective method to solve spacing variants problem is proposed. Experiment showed that the method solved the spacing variant problem and reduced the thesaurus space by about 42%. And the experiment also showed that the performance of automatic keyword assignment is much less than that of human indexers but is as good as that of authors.

DDC in DSpace: Integration of Multi-lingual Subject Access System in Institutional Digital Repositories

  • Roy, Bijan Kumar;Biswas, Subal Chandra;Mukhopadhyay, Parthasarathi
    • International Journal of Knowledge Content Development & Technology
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    • v.7 no.4
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    • pp.71-84
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    • 2017
  • The paper discusses the nature of Knowledge Organization Systems (KOSs) and shows how these can support digital library users. It demonstrates processes related to integration of KOS like the Dewey Decimal Classification, $22^{nd}$ edition (DDC22) in DSpace software (http://www.dspace.org/) for organizing and retrieving (browsing and searching) scholarly objects. An attempt has been made to use the DDC22 available in Bengali language and highlights the required mechanisms for system-level integration. It may help a repository administrator to build an IDR (Institutional Digital Repository) integrated with SKOS-enabled multilingual subject access systems for supporting subject descriptors based indexing (DC.Subject metadata element), structured navigation (browsing) and efficient searching.

Analytical Study on the Index Terms in the Theological Journals (신학 학술지의 색인어에 관한 연구)

  • Yoo, Yeong-Jun
    • Journal of Korean Library and Information Science Society
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    • v.40 no.3
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    • pp.137-156
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    • 2009
  • This study has analyzed the uncontrolled index terms in the theological journal, which were assigned by the authors and the LCSH subject headings in their form and meaning, compared to the standards of index terms and proposed much more sophisticated indexing system. In the uncontrolled index terms, noun phrases and compound terms are analyzed, this study found that indexers have to have theological knowledge and indexing techniques in order to assign more precise index terms. In the LCSH, unnecessary index terms and parenthetical qualifiers were analyzed. As a result of it, this study identified that the problems of inconsistency and errors raised from the basic index structure of LCSH.

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MeSH Semi Indexing of the Korean Biomedical Literature, using NLM Medical Text Indexer (NLM Medical Text Indexer를 활용한 우리나라 의학문헌의 MeSH Semi Indexing 방안)

  • Jeong, Sona;Lee, Choon Shil
    • Proceedings of the Korean Society for Information Management Conference
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    • 2010.08a
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    • pp.21-28
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    • 2010
  • 본 연구에서는 PubMed에 등재되었으나 Medical Subject Headings(MeSH)가 부여되지 않은 국내 의학학술지의 문헌을 대상으로 미국국립의학도서관 (NLM: National Library of Medicine)의 Medical Text Indexer(MTI)를 활용하여 MeSH 용어를 추천받은 후, PubMed 레코드의 유사주제문헌 (Relation Citations, PRC)에 부여된 MeSH와의 일치여부를 분석하였다. 또한 논문의 저자가 부여한 키워드(저자키워드)와 PRC MeSH의 일치여부도 비교하였다. PRC MeSH와 MTI MeSH 추천어의 일치율은 주표목이 21.1%였고, 체크태그는 18.1%, 부표목은 16.5%로 나타났다. 우리나라 의학논문에 나타난 저자키워드의 중요한 특징은 MeSH 주표목 위주이고, 체크태그와 부표목은 거의 사용하지 않는 것이다. 따라서 저자키워드와 PRC MeSH 주표목과의 일치율은 23.4%에 이르지만, 체크태그와 부표목의 일치율은 각각 1%, 2.1%였다. 색인전문가가 통제어휘를 사용하여 색인하는 과정에서 PRC와 MTI의 MeSH 주표목과 저자키워드가 일치하는 용어를 주표목으로 부여하고, PRC와 MTI가 추천하는 체크태그와 부표목을 활용하는 등 국내 의학문헌의 MeSH 용어 부여 작업을 반자동화(semi-indexing)하면, 정확하고 신속한 MeSH 부여 작업이 가능할 것이다.

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Intelligent missing persons index system Implementation based on the OpenCV image processing and TensorFlow Deep-running Image Processing

  • Baek, Yeong-Tae;Lee, Se-Hoon;Kim, Ji-Seong
    • Journal of the Korea Society of Computer and Information
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    • v.22 no.1
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    • pp.15-21
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    • 2017
  • In this paper, we present a solution to the problems caused by using only text - based information as an index element when a commercialized missing person indexing system indexes missing persons registered in the database. The existing system could not be used for the missing persons inquiry because it could not formalize the image of the missing person registered together when registering the missing person. To solve these problems, we propose a method to extract the similarity of images by using OpenCV image processing and TensorFlow deep - running image processing, and to process images of missing persons to process them into meaningful information. In order to verify the indexing method used in this paper, we constructed a Web server that operates to provide the information that is most likely to be needed to users first, using the image provided in the non - regular environment of the same subject as the search element.

The Broad System of Ordering as a switching language (스위칭언어로서의 BSO(Broad System of Ordering))

  • 이경호
    • Journal of Korean Library and Information Science Society
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    • v.14
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    • pp.149-179
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    • 1987
  • The concept of a "switching language " between different indexing languages and information retrieval systems has been discussed since the mid-1960s. Some preliminary investigates into the feasibility of switching between mediating tool yielded positive results. The Broad system of ordering(BSO) , a general classification scheme for information exchange and switching, has been under development as a joint FID/UNESCO project since 1973. The purpose of this study is to find out the origin, development, definition, and principle of BSO. The results of the study can be summarized as follows: (1) BSO is a switching language for the purpose of interconnection of information system which is located different regions, or using different indexing languages. (2) BSO is in effect, fully faceted and broad classification system. (3) BSO is not only a subject code but also an ordering system. (4) BSO can be used information retrieval system because the notation of composite subjects is formed by combining notation. (5) BSO has to some extent sacrificed brevity by leaving large unused notational gap for future use. (6) The structure of the scheme is in no way dependent upon the notation. notation.

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