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A Study on the Performance of Stuructured Document Retrieval using Node Information

  • Journal of the Korean Society for Information Management
  • Abbr : JKOSIM
  • 2007, 24(1), pp.103~120
  • DOI : 10.3743/KOSIM.2007.24.1.103
  • Publisher : 한국정보관리학회
  • Research Area : Interdisciplinary Studies > Library and Information Science
  • Received : February 15, 2007
  • Accepted : March 12, 2007
  • Published : March 30, 2007

SoYoung Yoon 1

1국사편찬위원회

Accredited

ABSTRACT

Node is the semantic unit and a part of structured document. Information retrieval from structured documents offers an opportunity to go subdivided below the document level in search of relevant information, making any element in an structured document a retrievable unit. The node-based document retrieval constitutes several similarity calculating methods and the extended node retrieval method using structure information. Retrieval performance is hardly influenced by the methods for determining document similarity. The extended node method outperformed the others as a whole.

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