SCIENTIFIC REFERENCES IMPORT FROM UNSTRUCTURED DATA

Nataša Veljković, Darko Puflovic, Leonid Stoimenov

DOI Number
https://doi.org/10.22190/FUACR1901031V
First page
031
Last page
040

Abstract


Along teaching scientific research is second most important task for every university and faculty member. Research results are commonly published as journal papers, book chapters or as conference proceedings with the purpose to communicate the findings in academic circles, serve as promotion, or be used for tenure or reapplication. Maintaining the list of scientific references, can be a time consuming and tedious activity. To help along the process we have created a Web application named References that makes the process of editing and formatting the references partially automated and less time consuming. In this paper we present the architecture of the application, its functionalities and newly added feature that enables importing references both from structured and unstructured data.

Keywords

bibliography, references management software, unstructured data

Full Text:

PDF

References


B. Gastel, R.A. Day, How to write and publish a scientific paper, ABC-CLIO, 2016.

N. Veljković, I. Antolović, L. Stoimenov, “Visual Analysis in Reference Management Software”, Applied Mechanics and Materials, vol. 197, pp. 633-637, 2012.

L. Stoimenov, N. Veljković, S. Bogdanović-Dinić, “Web application for scientific reference management”, 10th International Conference on Telecommunication in Modern Satellite Cable and Broadcasting Services (TELSIKS), pp. 369-372, 2011.

Pdf-extract, http://labs.crossref.org/pdfextract/

D. Tkaczyk, P. Szostek, M. Fedoryszak, P.J. Dendek, L. Bolikowski, “CERMINE: automatic extraction of structured meta-data from scientific literature”, International Journal on Document Analysis and Recognition (IJDAR), vol.18, no.4, pp. 317–335, 2015.

P. Lopez, “GROBID: Combining automatic bibliographic data recognition and term extraction for scholarship publications”, Research and Advanced Technology for Digital Libraries, pp. 473–474, 2009.

J. Zou, L. Daniel, G.R. Thoma, “Locating and parsing bibliographic references in HTML medical articles”, International Journal on Document Analysis and Recognition (IJDAR), vol. 13, no. 2, pp. 107-119, 2010.

G. Chowdhury, “Template mining for information extraction from digital documents”, Libr. Trends, vol. 48, no.1, pp.182–208, 1999.

M. Day, T. Tsai, C. Sung, C. Lee, S. Wu, C. Ong, W. Hsu, “A knowledge-based approach to citation extraction”, In Information Reuse and Integration, IEEE International Conference, pp. 50-55, 2005.

D. Tkaczyk, A. Collins, P. Sheridan, J. Beel, “Machine Learning vs. Rules and Out-of-the-Box vs. Retrained: An Evaluation of Open-Source Bibliographic Reference and Citation Parsers”, In Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Libraries, pp. 99-108, 2018.

B. Cui, X. Chen, “An improved hidden Markov model for literature metadata extraction”, Advanced Intelligent Computing Theories and Applications, pp. 205–212, 2010.

K. Seymore, A. McCallum, R. Rosenfeld, “Learning hidden Markov model structure for information extraction”, AAAI-99 Workshop on Machine Learning for Information Extraction, pp. 37-42, 1999.

I. Councill, C. Giles, M. Kan, “ParsCit: an open-source CRF reference string parsing package”, In Proceedings of the 6th International Language Resources and Evaluation, 2008.

T. Okada, A. Takasu, J. Adachi, “Bibliographic component extraction using support vector machines and hidden Markov models”, In Proceedings of the ECDL, pp. 501–512, 2004.

OCRID, https://orcid.org/

J. Kessler, M.K. Van Ullen, “Citation Generators: Generating Bibliographies for the Next Generation”, Journal of Academic Librarianship, vol. 31, no. 4, pp. 310-316, 2005.

Refbase, http://www.refbase.net.

J.M.R. Gairin, P.R. Gallo, A.S. Duesa, “A Virtual Exhibition of Open Source Software for Libraries”, 16th BOBCATSSS Symposium, Conference Proceedings, Zadar, pp. 319-325, 2008.

Aigaion, http://www.aigaion.nl.

S. Jose, F. Jayakanth, “Aigaion: A Web-based Open Source Software for Managing the Bibliographic References”, Journal of Information Science and Technology, vol. 1, no. 1, pp.81-88, 2008.

RefWorks, http://www.refworks.com.

R. Gilmour, L. Cobus-Kuo, “Reference Management Software: A Comparative Analysis of Four Products”, Issues in Science and Technology Librarianship, vol.66, pp. 63-75. 2011.

I.C. Hendrix, “RefWorks”, Journal of the Medical Library Association, vol. 92, no. 1, pp. 111-113, 2004.

Wikindix, http://wikindx.sourceforge.net.

Memento, http://findnwrite.com/memento.

Crossref Metadata Search, https://search.crossref.org/

Scopus, https://www.scopus.com

The Rules of Procedure and the Manner of Evaluation and Quantitative Presentation of Scientific-research Results of Researchers, March 21st 2008, the Official Gazette of the Republic of Serbia, no. 18/10.

Citation Styles: APA, MLA, Chicago, Turabian, https://pitt.libguides.com/citationhelp

T. Ah-Hwee, “Text mining: The state of the art and the challenges”. In: Proceedings of the PAKDD 1999 Workshop on Knowledge Discovery from Advanced Databases vol. 8, pp. 65–70, 1999.




DOI: https://doi.org/10.22190/FUACR1901031V

Refbacks

  • There are currently no refbacks.


Print ISSN: 1820-6417
Online ISSN: 1820-6425