More Web Proxy on the site http://driver.im/

research-article

Exploring Scholarly Papers Through Citations

Authors:

Angelo Di Iorio,

Raffaele Giannella,

Francesco Poggi,

Fabio VitaliAuthors Info & Claims

DocEng '15: Proceedings of the 2015 ACM Symposium on Document Engineering

Pages 107 - 116

https://doi.org/10.1145/2682571.2797065

Published: 08 September 2015 Publication History

Abstract

Bibliographies are fundamental components of academic papers and both the scientific research and its evaluation are fundamentally organized around the correct examination and classification of scientific bibliographies. Currently, most digital libraries publish bibliographic information about their content for free, and many include the citations (outgoing and in some cases even incoming) to the papers they manage. Unfortunately no sophistication is spent for these lists: monolithic pieces of text where it is even difficult to tell automatically the authors, the title and publication details, and where users are provided with no mechanisms to filter and access full context of each citation. For instance, there is no way to know in which sentence a work was cited (the citation context) and why (the citation function).

In this paper we introduce a novel environment for navigating, filtering and making sense of citations. The interface, called BEX, exploits data freely available in a Link Open Dataset about scholarly papers; end-user testing proved its efficacy and usability.

References

[1]

Brooke, J. (1996). SUS: a"quick and dirty" usability scale. In Usability Evaluation in Industry: 189--194.

[2]

Carol Tenopir, Donald W. King, Sheri Edwards, Lei Wu, 2009. Electronic journals and changes in scholarly article seeking and reading patterns, Aslib Journal of Information Management, 61:1, pp. 5--32.

[3]

Di Iorio, A., Nuzzolese, A. G., & Peroni, S. (2013). Towards the automatic identification of the nature of citations. In A. Garcia Castro, C. Lange, P. Lord, & R. Stevens (Eds.), Proceedings of 3rd Workshop on Semantic Publishing (SePublica 2013), CEUR Workshop Proceedings 994: 63--74. Aachen, Germany.

[4]

Dunne, C., Shneiderman, B., Gove, R., Klavans, J., Dorr, B. (2012). Rapid understanding of scientific paper collections: Integrating statistics, text analytics, and visualization. JASIST, 63(12), 2351--2369.

Digital Library

[5]

Evans, James A. "Electronic Publication and the Narrowing of Science and Scholarship." Science 321, no. 5887 (2008): 395--99.

[6]

Falco, R., Gangemi, A., Peroni, S., & Vitali, F. (2014). Modelling OWL ontologies with Graffoo. In ESWC 2014 Satellite Events - Revised Selected Papers, Lecture Notes in Computer Science 8798: 320--325. Berlin, Germany: Springer.

[7]

Hélène de Ribaupierre and Gilles Falquet. 2011. New trends for reading scientific documents. In Proceedings of the 4th ACM workshop on Online books, complementary social media and crowdsourcing (BooksOnline '11). ACM, New York, NY, USA, 19--24.

Digital Library

[8]

J. Preece, J., Carey, T., Rogers, Y., Holland,S., Sharp, H. Benyon,D. Human-Computer Interaction. Ics Series. Addison-Wesley Publishing Company, 1994.

Digital Library

[9]

Juliane Franze, Kim Marriott, and Michael Wybrow. 2014. What academics want when reading digitally. In Proceedings of the 2014 ACM symposium on Document engineering (DocEng '14). ACM, New York, NY, USA, 199--202.

Digital Library

[10]

Lee, B., Czerwinski, M., Robertson, G., Bederson, B. (2005). Understanding research trends in conferences using PaperLens. In CHI extended abstracts on Human factors in computing systems (pp.1969--1972). ACM.

Digital Library

[11]

Lewis, J. R., & Sauro, J. (2009). The Factor Structure of the System Usability Scale. In Proceedings of the 1st International Conference on Human Centered Design (HCD 2009): 94--103.

Digital Library

[12]

Lei-Ling Wang, Scholarly journal use and reading behavior of social scientists in Taiwan, The International Information & Library Review, Volume 42, Issue 4, 2010, Pages 269--281, ISSN 1057--231.

[13]

Niu, X., Hemminger, B. M., Lown, C., Adams, S., Brown, C., Level, A., McLure, M., Powers, A., Tennant, M. R. and Cataldo, T. (2010), National study of information seeking behavior of academic researchers in the United States. J. Am. Soc. Inf. Sci., 61: 869--890.

Digital Library

[14]

Peroni, S. (2014). Semantic Web Technologies and Legal Scholarly Publishing. Law, Governance and Technology Series 15. Springer. http://dx.doi.org/10.100/978-3-319-04777-5

Digital Library

[15]

Presutti, V., Francesco D., & Aldo G. (2012). Knowledge extraction based on discourse representation theory and linguistic frames. In Proceedings of the 18th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2012): 114--129. Berlin, Germany: Springer.

Digital Library

[16]

Qazvinian, V., Radev, D. (2010). Identifying Non-explicit Citing Sentences for Citation-based Summarization. In Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics (ACL 10): 555--564.

Digital Library

[17]

Sauro, J. (2011). A Practical Guide to the System Usability Scale: Background, Benchmarks & a Best Practices. CreateSpace. ISBN: 1461062707

[18]

Shen, Z., Ogawa, M., Teoh, S. T., Ma, K. L. (2006). BiblioViz: a system for visualizing bibliography information. In Proceedings of the 2006 Asia-Pacific Symposium on Information Visualisation-Volume 60 (pp. 93--102).

Digital Library

[19]

Shneiderman, B. (1996). The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations. In Proceedings of the IEEE Symposium on Visual Languages, pages 336--343,Washington. IEEE Computer Society Press, 1996.

Digital Library

[20]

Shotton, D. (2013). Publishing: Open citations. Nature, 502(7471): 295--297.

[21]

Strauss, A. Corbin, J. (1998). Basics of Qualitative Research Techniques and Procedures for Developing Grounded Theory (2nd edition). Sage Publications. ISBN: 0803959408

[22]

Teufel, S., Siddharthan, A., Tidhar, D. (2006). Automatic classification of citation function. In Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing (EMNLP 06): 103--110.

Digital Library

[23]

Yichen Jiang, Aixia Jia, Yansong Feng, and Dongyan Zhao. 2012. Recommending academic papers via users' reading purposes. In Proceedings of the sixth ACM conference on Recommender systems (RecSys'12). ACM, New York, NY, USA, 241--244.

Digital Library

Cited By

Colavizza GPeroni SRomanello M(2023)The case for the Humanities Citation Index (HuCI): a citation index by the humanities, for the humanitiesInternational Journal on Digital Libraries10.1007/s00799-022-00327-024:4(191-204)Online publication date: 1-Dec-2023
https://dl.acm.org/doi/10.1007/s00799-022-00327-0
Fouille JNguyen TAlix BBecker BRochard Mde Ribaupierre Hd'Orazio L(2021)ASSIST: Article eXtraction and statIstical AnalysiS2021 IEEE International Conference on Big Data (Big Data)10.1109/BigData52589.2021.9671743(4273-4276)Online publication date: 15-Dec-2021
https://doi.org/10.1109/BigData52589.2021.9671743
Khalid SWu S(2020)Supporting Scholarly Search by Query Expansion and Citation AnalysisEngineering, Technology & Applied Science Research10.48084/etasr.365510:4(6102-6108)Online publication date: 16-Aug-2020
https://doi.org/10.48084/etasr.3655
Show More Cited By

Index Terms

Exploring Scholarly Papers Through Citations
1. Human-centered computing
  1. Human computer interaction (HCI)
2. Information systems
  1. World Wide Web
    1. Web interfaces
      1. Browsers

Recommendations

Google Scholar, Microsoft Academic, Scopus, Dimensions, Web of Science, and OpenCitations’ COCI: a multidisciplinary comparison of coverage via citations
Abstract
New sources of citation data have recently become available, such as Microsoft Academic, Dimensions, and the OpenCitations Index of CrossRef open DOI-to-DOI citations (COCI). Although these have been compared to the Web of Science Core Collection (...
Scholarly publications beyond pay-walls: increased citation advantage for open publishing

First, we aim to determine the total amount of scholarly articles freely available on the internet. Second, we aim to prove whether there exists a citation advantage for open publishing. The total scholarly publication output of Norway is indexed in ...
Does monetary support increase citation impact of scholarly papers?
Abstract
One of the main indicators of scientific development of a given country is the number of papers published in high impact scholarly journals. Many countries introduced performance-based research funding systems to create a more competitive ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Conferences

DocEng '15: Proceedings of the 2015 ACM Symposium on Document Engineering

September 2015

248 pages

ISBN:9781450333078

DOI:10.1145/2682571

General Chair:
Christine Vanoirbeek
EPFL, Switzerland
,
Program Chair:
Pierre Genevès
CNRS, France

Copyright © 2015 ACM.

Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 08 September 2015

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Badges

Best Paper

Author Tags

Qualifiers

Research-article

Conference

DocEng '15

Sponsor:

SIGWEB

DocEng '15: ACM Symposium on Document Engineering 2015

September 8 - 11, 2015

Lausanne, Switzerland

Acceptance Rates

DocEng '15 Paper Acceptance Rate 11 of 31 submissions, 35%;

Overall Acceptance Rate 194 of 564 submissions, 34%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

7
Total Citations
View Citations
214
Total Downloads

Downloads (Last 12 months)12
Downloads (Last 6 weeks)1

Reflects downloads up to 13 Dec 2024

Other Metrics

View Author Metrics

Citations

Cited By

Colavizza GPeroni SRomanello M(2023)The case for the Humanities Citation Index (HuCI): a citation index by the humanities, for the humanitiesInternational Journal on Digital Libraries10.1007/s00799-022-00327-024:4(191-204)Online publication date: 1-Dec-2023
https://dl.acm.org/doi/10.1007/s00799-022-00327-0
Fouille JNguyen TAlix BBecker BRochard Mde Ribaupierre Hd'Orazio L(2021)ASSIST: Article eXtraction and statIstical AnalysiS2021 IEEE International Conference on Big Data (Big Data)10.1109/BigData52589.2021.9671743(4273-4276)Online publication date: 15-Dec-2021
https://doi.org/10.1109/BigData52589.2021.9671743
Khalid SWu S(2020)Supporting Scholarly Search by Query Expansion and Citation AnalysisEngineering, Technology & Applied Science Research10.48084/etasr.365510:4(6102-6108)Online publication date: 16-Aug-2020
https://doi.org/10.48084/etasr.3655
Sultanum NMurad CWigdor D(2020)Understanding and Supporting Academic Literature Review Workflows with LitSenseProceedings of the 2020 International Conference on Advanced Visual Interfaces10.1145/3399715.3399830(1-5)Online publication date: 28-Sep-2020
https://dl.acm.org/doi/10.1145/3399715.3399830
Peroni SCiancarini PGangemi ANuzzolese APoggi FPresutti V(2020)The practice of self-citations: a longitudinal studyScientometrics10.1007/s11192-020-03397-6Online publication date: 22-Feb-2020
https://doi.org/10.1007/s11192-020-03397-6
Khalid SKhusro SUllah IDawson-Amoah G(2019)On The Current State of Scholarly Retrieval SystemsEngineering, Technology & Applied Science Research10.48084/etasr.24489:1(3863-3870)Online publication date: 16-Feb-2019
https://doi.org/10.48084/etasr.2448
Iorio ANuzzolese APeroni SPoggi FVitali FCiancarini P(2017)Analysing and Discovering Semantic Relations in Scholarly DataDigital Libraries and Archives10.1007/978-3-319-68130-6_1(3-19)Online publication date: 11-Oct-2017
https://doi.org/10.1007/978-3-319-68130-6_1

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Table of Contents