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Bibliographic attributes extraction with layer-upon-layer tagging
KTH, School of Information and Communication Technology (ICT).
2007 (English)In: ICDAR 2007: Ninth International Conference On Document Analysis And Recognition, Vols I And II, Proceedings / [ed] Werner, B, 2007, 804-808 p.Conference paper, Published paper (Refereed)
Abstract [en]

Bibliographic attributes extraction is an important research topic for digital libraries. In this paper we propose a rule-based method for bibliographic attributes extraction with Layer-upon-Layer Tagging (LLT). The method analyzes bibliographic attributes' appearances and punctuations to perform format and semantic taggings on two defined parsing layers. The method also resolves to specifically constructed lexicons to achieve high accuracy of semantic tagging. In the experimental evaluation on 1,000 reference strings, the accuracy of author tagging reaches to 96.8% and the accuracy Of whole reference tagging is 82.9%. The experimental results demonstrate that the proposed LLT method can tag bibliographic attributes in reference strings with high degree of accuracy.

Place, publisher, year, edition, pages
2007. 804-808 p.
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:kth:diva-41147DOI: 10.1109/ICDAR.2007.4377026ISI: 000252162600161Scopus ID: 2-s2.0-51149094559ISBN: 978-0-7695-2822-9 (print)OAI: oai:DiVA.org:kth-41147DiVA: diva2:443460
Conference
9th International Conference on Document Analysis and Recognition, ICDAR 2007; Curitiba; 23 September 2007 through 26 September 2007
Available from: 2011-09-26 Created: 2011-09-23 Last updated: 2011-09-26Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf