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Vol.21 No.3
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A Study on the Visual Representation of TREC Text Documents in the Construction of Digital Library

Journal of the Korean Society for Information Management / Journal of the Korean Society for Information Management, (P)1013-0799; (E)2586-2073
2004, v.21 no.3, pp.1-14
https://doi.org/10.3743/KOSIM.2004.21.3.001


& (2004). A Study on the Visual Representation of TREC Text Documents in the Construction of Digital Library. Journal of the Korean Society for Information Management, 21(3), 1-14, https://doi.org/10.3743/KOSIM.2004.21.3.001
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Abstract

Visualization of documents will help users when they do search similar documents, and all research in information retrieval addresses itself to the problem of a user with an information need facing a data source containing an acceptable solution to that need. In various contexts, adequate solutions to this problem have included alphabetized cubbyholes housing papyrus rolls, microfilm registers, card catalogs and inverted files coded onto discs. Many information retrieval systems rely on the use of a document surrogate. Though they might be surprise to discover it, nearly every information seeker uses an array of document surrogates. Summaries, tables of contents, abstracts, reviews, and MARC recordsthese are all document surrogates. That is, they stand infor a document allowing a user to make some decision regarding it, whether to retrieve a book from the stacks, whether to read an entire article, etc.In this paper another type of document surrogate is investigated using a grouping method of term list. Using Multidimensional Scaling Method (MDS) those surrogates are visualized on two-dimensional graph. The distances between dots on the two-dimensional graph can be represented as the similarity of the documents. More close the distance, more similar the documents.

keywords
문헌 대체, 문헌간 유사성, 정보검색시스템, DL, MDS, 용어집단화방법Document Surrogate, Document Similarity, IRS, DL, Multidimensional Scaling (MDS), Term Grouping Method, 문헌 대체, 문헌간 유사성, 정보검색시스템, DL, MDS, 용어집단화방법Document Surrogate, Document Similarity, IRS, DL, Multidimensional Scaling (MDS), Term Grouping Method

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