Bibliographic Attributes Extraction with Layer-upon-Layer Tagging

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.

• Type: Conference
• Year: 2007
• Where: ICDAR
• Authors: W. Wei, I. King, J. H.-M. Lee
• Keywords: Bibliographic Attributes, Bibliographic Attributes Extraction, Document Analysis, ICDAR 2007, Semantic Tagging