A New Approach towards Bibliographic Reference Identification, Parsing and Inline Citation Matching

  • Deepank Gupta
  • Bob Morris
  • Terry Catapano
  • Guido Sautter
Part of the Communications in Computer and Information Science book series (CCIS, volume 40)


A number of algorithms and approaches have been proposed towards the problem of scanning and digitizing research papers. We can classify work done in the past into three major approaches: regular expression based heuristics, learning based algorithm and knowledge based systems. Our findings point to the inadequacy of existing open-source solutions such as Paracite for papers with “micro-citations” in various European Languages. This paper describes the work done as part of the Google Summer of Code 2008 using a combination of regular-expression based heuristics and knowledge-based systems to develop a system which matches inline citations to their corresponding bibliographic references and identifies and extracts metadata from references. The description, implementation and results of our approach have been presented here. Our approach enhances the accuracy and provides better recognition rates.


Bibliographic Reference Parsing Inline Citation Matching Regular Expression Metadata Extraction Knowledge-based Systems Micro-citations 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Deepank Gupta
    • 1
  • Bob Morris
    • 2
  • Terry Catapano
    • 3
  • Guido Sautter
    • 4
  1. 1.Netaji Subhas Institute of TechnologyPlazi
  2. 2.University of Massachusetts, BostonPlazi
  3. 3.Columbia UniversityPlazi
  4. 4.University of KarlsruhePlazi

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