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Evaluation of header metadata extraction approaches and tools for scientific PDF documents

Authors:

Bela GippAuthors Info & Claims

JCDL '13: Proceedings of the 13th ACM/IEEE-CS joint conference on Digital libraries

Pages 385 - 386

https://doi.org/10.1145/2467696.2467753

Published: 22 July 2013 Publication History

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Abstract

This paper evaluates the performance of tools for the extraction of metadata from scientific articles. Accurate metadata extraction is an important task for automating the management of digital libraries. This comparative study is a guide for developers looking to integrate the most suitable and effective metadata extraction tool into their software. We shed light on the strengths and weaknesses of seven tools in common use. In our evaluation using papers from the arXiv collection, GROBID delivered the best results, followed by Mendeley Desktop. SciPlore Xtract, PDFMeat, and SVMHeaderParse also delivered good results depending on the metadata type to be extracted.

References

[1]

Aumueller, D. 2009. Retrieving metadata for your local scholarly papers.

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[2]

Beel, J., Gipp, B., Langer, S., Genzmehr, M., Wilde, E., Nürnberger, A. and Pitman, J. 2011. Introducing Mr. DLib, a Machine-readable Digital Library. JCDL'11.

Digital Library

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[3]

Beel, J., Gipp, B., Shaker, A. and Friedrich, N. 2010. SciPlore Xtract: Extracting Titles from Scientific PDF Documents by Analyzing Style Information (Font Size). ECDL'10.

Digital Library

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[4]

Beel, J., Langer, S., Genzmehr, M. and Müller, C. 2013. Docears PDF Inspector: Title Extraction from PDF files. JCDL'13.

Digital Library

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Granitzer, M., Hristakeva, M., Knight, R. and Jack, K. 2012. A Comparison of Metadata Extraction Techniques for Crowdsourced Bibliographic Metadata Management. SAC'12.

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JISC ConnectedWorks Project 2010. Research on existing PDF processors. University of Cambridge.

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Singh ISatyam Semwal ASingh SGupta G(2024)Text Processing and Analysis Pipeline for Scientific Literature2024 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI)10.1109/ACCAI61061.2024.10602138(1-5)Online publication date: 9-May-2024
https://doi.org/10.1109/ACCAI61061.2024.10602138
Backes TIurshina AShahid MMayr P(2024)Comparing free reference extraction pipelinesInternational Journal on Digital Libraries10.1007/s00799-024-00404-625:4(841-853)Online publication date: 1-Dec-2024
https://dl.acm.org/doi/10.1007/s00799-024-00404-6
Sabadin I(2023)Ekstrakcija metapodatkov s pomočjo strojnega učenjaModerna arhivistika10.54356/MA/2023/VRNY76652023 (6):2(255-269)Online publication date: 17-Dec-2023
https://doi.org/10.54356/MA/2023/VRNY7665
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Index Terms

Evaluation of header metadata extraction approaches and tools for scientific PDF documents
1. Information systems
  1. Information retrieval
    1. Evaluation of retrieval results

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Information

Published In

JCDL '13: Proceedings of the 13th ACM/IEEE-CS joint conference on Digital libraries

July 2013

480 pages

ISBN:9781450320771

DOI:10.1145/2467696

General Chairs:
J. Stephen Downie
University of Illinois at Urbana-Champaign, USA
,
Robert H. McDonald
Indiana University Bloomington, USA
,
Program Chairs:
Timothy W. Cole
University of Illinois at Urbana-Champaign, USA
,
Robert Sanderson
Los Alamos National Laboratory, USA
,
Frank Shipman
Texas A&M University, USA

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 July 2013

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JCDL '13

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JCDL '13: 13th ACM/IEEE-CS Joint Conference on Digital Libraries

July 22 - 26, 2013

Indiana, Indianapolis, USA

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JCDL '13 Paper Acceptance Rate 28 of 95 submissions, 29%;

Overall Acceptance Rate 415 of 1,482 submissions, 28%

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Singh ISatyam Semwal ASingh SGupta G(2024)Text Processing and Analysis Pipeline for Scientific Literature2024 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI)10.1109/ACCAI61061.2024.10602138(1-5)Online publication date: 9-May-2024
https://doi.org/10.1109/ACCAI61061.2024.10602138
Backes TIurshina AShahid MMayr P(2024)Comparing free reference extraction pipelinesInternational Journal on Digital Libraries10.1007/s00799-024-00404-625:4(841-853)Online publication date: 1-Dec-2024
https://dl.acm.org/doi/10.1007/s00799-024-00404-6
Sabadin I(2023)Ekstrakcija metapodatkov s pomočjo strojnega učenjaModerna arhivistika10.54356/MA/2023/VRNY76652023 (6):2(255-269)Online publication date: 17-Dec-2023
https://doi.org/10.54356/MA/2023/VRNY7665
Tanwar SRibadiya DBhattacharya PNair AKumar NJo M(2023)Fusion of blockchain and IoT in scientific publishingFuture Generation Computer Systems10.1016/j.future.2022.12.036142:C(248-275)Online publication date: 1-May-2023
https://dl.acm.org/doi/10.1016/j.future.2022.12.036
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MUTLU AABDİSAMAD MKABASAKAL OGÖZ FTÜFEKÇİ ÖKÜÇÜK K(2021)Dijital Kütüphanelerde Dokümanlardan Bilgi Geri Kazanımı için Kullanılan Güncel Teknolojiler: Derleme ÇalışmasıCurrent Technologies for Information Retrieval of Documents in Digital Libraries: A SurveyDüzce Üniversitesi Bilim ve Teknoloji Dergisi10.29130/dubited.7969649:1(79-91)Online publication date: 31-Jan-2021
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Boukhers ZBeili NHartmann TGoswami PZafar M(2021)MexPub: Deep Transfer Learning for Metadata Extraction from German Publications2021 ACM/IEEE Joint Conference on Digital Libraries (JCDL)10.1109/JCDL52503.2021.00076(250-253)Online publication date: Sep-2021
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Vision and natural language for metadata extraction from scientific PDF documents: a multimodal approach

A comparison of metadata extraction techniques for crowdsourced bibliographic metadata management

Reference Metadata Extraction from Scientific Papers

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