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REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
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Journal of Information Management
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Korea Institute of Science and Technology Information
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Volume & Issues
Volume 21, Issue 2 - Dec 1990
Volume 21, Issue 1 - Jun 1990
Selecting the target year
A Study on the Contents and Sentences of Korean Abstract
Lee, Tae-Young ;
Journal of Information Management, volume 21, issue 1, 1990, Pages 1~33
This paper examines the English and Korean abstracts using the part of speech, case, primitive action. primitive state, measures the length of abstracts and individual sentences and analyzes the structures of sentences. In turn, the possible frames of abstract sentences are suggested.
An Overview of Probabilistic Reasoning
Kim, Sung-Hyuk ;
Journal of Information Management, volume 21, issue 1, 1990, Pages 34~52
The probabilistic reasoning method using Bayesian theory is studied to use uncertain or incomplete knowledge in ways that take the uncertainty into account. This method presented for knowledge acquisition process of expert system to evaluate certainty degree of input knowledge.
A Study on Constructing Korean Language Thesaurus
Jun, Tae-Jung ;
Journal of Information Management, volume 21, issue 1, 1990, Pages 53~75
In information storage and retrieval system, controlled vocabularies are generally used to improve the recall ratio and to guide for indexers/users to select correct indexing/searching terms by regulating their forms as well as meanings. Thesaurs, a type of controlled vocabulary, nowdays accept ed by most of database producers. The objective of this study is to develope a method of Korean Language Thesaurus construction. This study covers 1) the definition of thesaurus, 2) a literatural survey on term relations and thesaurus construction method, 3) a suggestion for a practical construction method, 4) the display format of thesuari, and 5) tests and the results.
Automatic Spelling Correction for Efficient Data Base Production and Information Retrieval
Kim, Byung-Hye ;
Journal of Information Management, volume 21, issue 1, 1990, Pages 76~92
This paper discusses automatic spelling correction in a point of view bibliographic Data Base production and information retrieval. Types of commonly detected spelling errors and impact of spelling errors in bibliographic data bases are described here. Document normalization, spelling verification, spelling correction and user interface for general construction of automatic spelling correction systems are described.