• Title, Summary, Keyword: automatic indexing

Search Result 131, Processing Time 0.026 seconds

An experiment in automatic indexing with korean texts : a comparison of syntactico-statistical and manual methods (구문 . 통계적 기법을 이용한 한국어 자동색인에 관한 연구)

  • 서은경
    • Journal of the Korean Society for information Management
    • /
    • v.10 no.1
    • /
    • pp.97-124
    • /
    • 1993
  • This study was undertaken in order to develop practical automatic indexing techniques suitable for Korean natural language texts. It has taken a modest step toward this goal by developing an automatic syntactico-statistical indexing method and evaluating the method by comparing the resutls with manual indexing. For this experimental study, the Korean text database was constructed manually based on 300 abstracts covering business subject. The experimental results showed that the performance of the automatic syntactico-statistical indexing system was comparable to that of other studies which have compared automatic indexing with manual indexing.

  • PDF

Automatic indexing as a subject analysis technique (주제분석기법으로서의 자동색인)

  • 이영자
    • Journal of Korean Library and Information Science Society
    • /
    • v.12
    • /
    • pp.61-96
    • /
    • 1985
  • The human subject analysis of a document has some critical problems. The method results in the inconsistency in analysis process and the contradiction of two objects of the subject analysis (one is the identification of the content for the retrieval of specific items and the other is to identify the content for the grouping of related materials). Since the subject analysis by mechanized has been recognized to be the possible way to aggregate the problems of manual analysis, various a n.0, pproaches of automatic indexing have been studied and experimented. This study is to examine the automatic indexing as one of the promising subject analysis techniques by statistical, syntactical and semantic a n.0, pproaches. In conclusion, the reasonable a n.0, pplication time of the automatic indexing should be made a decision based on the through investigation on the cost verse effectiveness, and automatic indexing system should be developed in the close relationship with the on-line search which is a good retrieval system for information explosion society. From now on, since the machine-readable document-text will be envisaged to be more and more available due to the rapid development of computer technology, the more substantial research on the automatic indexing will be also possible, which can bring about the increasing of practical automatic indexing systems.

  • PDF

A Study on Automatic Indexing System for Newspaper Articles (신문기사(新聞記事) 자동색인(自動索引)에 관한 고찰(考察))

  • Cho, Sun-Hee
    • Journal of Information Management
    • /
    • v.23 no.3
    • /
    • pp.19-44
    • /
    • 1992
  • As most of the domestic newspaper companies are adopting CTS system, the need for automatic indexing system, which can transfer the full-text into a computer, is sharply expanding. In this research, I tried to analyse problems and prospects of the automatic indexing system through various examples and studies conducted by other analysts previously.

  • PDF

Efficient Storage and Retrieval for Automatic Indexing of Persons in Videos (동영상 등장인물의 자동색인을 위한 효율적인 저장과 검색 방법)

  • Kim, Jin-Seung;Han, Yong-Koo;Lee, Young-Koo
    • Journal of Korea Multimedia Society
    • /
    • v.14 no.8
    • /
    • pp.1050-1060
    • /
    • 2011
  • With increasing need for indexing of persons in a large video database, automatic indexing has been attracting great interest which takes advantage of automatic tagging instead of the time-consuming and costly manual tagging. However, automatic indexing approach should provide a degree of recognition proximity because it cannot identify the persons with accuracy of 100%. In this paper, we propose an efficient storage method for storing posting lists efficiently and a novel ranking technique of ordering relevant videos for efficient retrieval. Through experiment evaluations we have shown that our storage method exhibits good performance in compressing the posting list. We have also shown that the proposed ranking method is effective for finding relevant videos.

Theory and Practice of Automatic Indexing (자동색인의 이론과 실제)

    • Journal of Korean Library and Information Science Society
    • /
    • v.30 no.3
    • /
    • pp.27-51
    • /
    • 1999
  • This paper deals with the methods as well as the problems associated with automatic extraction indexing and assignment indexing, expert systems for indexing, and major approaches currently used to index the Internet resources. It also briefly reviews basic methods for establishing hypertext/hypermedia links automatically. The methods used in much of text processing today are not particularly new. Most of the them were used, perhaps in a more rudimentary form, 30 or more years ago by Luhn and many other investigators. Better results can be achieved today because much greater bodies of electronic text are now avaliable and the power of present-day computers allows the processing of such text with reasonable efficiency.

  • PDF

A Study on the Automatic Descriptor Assignment for Scientific Journal Articles Using Rocchio Algorithm (로치오 알고리즘을 이용한 학술지 논문의 디스크 립터 자동부여에 관한 연구)

  • Kim, Pan-Jun
    • Journal of the Korean Society for information Management
    • /
    • v.23 no.3
    • /
    • pp.69-89
    • /
    • 2006
  • Several performance factors which have applied to the automatic indexing with controlled vocabulary and text categorization based on Rocchio algorithm were examined, and the simple method for performance improvement of them were tried. Also, results of the methods using Rocchio algorithm were compared with those of other learning based methods on the same conditions. As a result, keeping with the strong points which are implementational easiness and computational efficiency, the methods based Rocchio algorithms showed equivalent or better results than other learning based methods(SVM, VPT, NB). Especially, for the semi-automatic indexing(computer-aided indexing), the methods using Rocchio algorithm with a high recall level could be used preferentially.

Automatic Name Line Detection for Person Indexing Based on Overlay Text

  • Lee, Sanghee;Ahn, Jungil;Jo, Kanghyun
    • Journal of Multimedia Information System
    • /
    • v.2 no.1
    • /
    • pp.163-170
    • /
    • 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.

A Study of automatic indexing based on the linguistic analysis for newspaper articles (언어학적 분석기법에 의한 신문기사 자동색인시스팀 설계에 관한 연구)

  • Seo, Gyeong-Ju;SaGong, Cheol
    • Journal of the Korean Society for information Management
    • /
    • v.8 no.1
    • /
    • pp.78-99
    • /
    • 1991
  • So far, most of Korea's newspapers indexing have been done manually using tesaurus. In recent years, however, the need for automatic indexing system has grown stronger so as for indexers to save time, efforts and money. And some newspapers have started establishing their databases along with introducing electronic newspapers and CTS. This thesis is on establishing and automatic indexing system for the full-text of the Korea Economic Daily's articles, which have been accumulated in its database, KETEL. In my thesis, I suggest methods to create a keyword file, a stopword list, an auxiliary word list and an infected word list by applying linguistic analysis methods to Hangul, taking advantage of the language's morphological peculiarity. Through these studies, I was able to reach four conclusions as follows. First, we can obtain satisfactory keywords by automatic indexing methods that were made through morphological analysis. Second, an indexer can improve the efficiency of indexing work by controlling extracted vocabulary, as syntax analysis and semantic analysis is not complete in Hangul. Third, The keyword file in this system which is made of about 20,000 most-frequently-used newspaper terms can be used in the future in compiling a thesaurus. Finally, the suggested methods to prepare an auxiliary word list and an infected word list can be applicable to designing other automatic systems.

  • PDF

A One-Size-Fits-All Indexing Method Does Not Exist: Automatic Selection Based on Meta-Learning

  • Jimeno-Yepes, Antonio;Mork, James G.;Demner-Fushman, Dina;Aronson, Alan R.
    • Journal of Computing Science and Engineering
    • /
    • v.6 no.2
    • /
    • pp.151-160
    • /
    • 2012
  • We present a methodology that automatically selects indexing algorithms for each heading in Medical Subject Headings (MeSH), National Library of Medicine's vocabulary for indexing MEDLINE. While manually comparing indexing methods is manageable with a limited number of MeSH headings, a large number of them make automation of this selection desirable. Results show that this process can be automated, based on previously indexed MEDLINE citations. We find that AdaBoostM1 is better suited to index a group of MeSH hedings named Check Tags, and helps improve the micro F-measure from 0.5385 to 0.7157, and the macro F-measure from 0.4123 to 0.5387 (both p < 0.01).

The Experimental Study on the Relationship between Hierarchical Agglomerative Clustering and Compound Nouns Indexing (계층적 결합형 문서 클러스터링 시스템과 복합명사 색인방법과의 연관관계 연구)

  • Cho Hyun-Yang;Choi Sung-Pil
    • Journal of the Korean Society for Library and Information Science
    • /
    • v.38 no.4
    • /
    • pp.179-192
    • /
    • 2004
  • In this paper, we present that the result of document clustering can change dramatically with respect to the different ways of indexing compound nouns. First of all, the automatic indexing engine specialized for Korean words analysis, which also serves as the backbone engine for automatic document clustering system, is introduced. Then, the details of hierarchical agglomerative clustering(HAC) method, one of the widely used clustering methodologies in these days, was illustrated. As the result of observing the experiments, carried out in the final part of this paper, it comes to the conclusion that the various modes of indexing compound nouns have an effect on the outcome of HAC.