[InetBib] 2nd CfP BIR@ECIR2020 - 10th International Workshop on Bibliometric-enhanced Information Retrieval

["Mayr-Schlegel, Philipp via InetBib" <inetbib@xxxxxxxxxx>]

You are invited to submit to the 10th international workshop on 
Bibliometric-enhanced Information Retrieval (BIR 2020), to be held as part of 
the 42nd European Conference on Information Retrieval (ECIR 2020).



Submission deadline for this jubilee workshop is: January 27th, 2020 (AoE)



<https://sites.google.com/view/bir-ws/bir-2020>



=== Important Dates ===

- Submissions: 27 January 2020

- Notifications: 28 February 2020

- Camera Ready Contributions: 30 March 2020

- Workshop: 14 April 2020 in Lisbon, Portugal





=== tl;dr ===

The Bibliometric-enhanced Information Retrieval (BIR) workshop series at ECIR 
tackles issues related to academic search, at the crossroads between 
Information Retrieval and Bibliometrics.  BIR is a hot topic investigated by 
both academia (e.g., ArnetMiner, CiteSeerX) and the industry (e.g., Google 
Scholar, Microsoft Academic Search, Semantic Scholar). A one-day workshop is to 
be held at ECIR 2020 in Lisbon, Portugal.

Past BIR(NDL) proceedings are online https://dblp.org/search?q=BIR.ECIR as open 
access.





=== Keywords ===

Academic Search • Information Retrieval • Digital Libraries • Bibliometrics • 
Scientometrics





=== Workshop Topics ===

We welcome (but are not limited to) submissions regarding all three aspects of 
academic search below:



- Information seeking & searching with scientific information, such as:

    . Finding relevant papers/authors for a literature review.

     . Measuring the degree of plagiarism in a paper.

     . Identifying expert reviewers for a given submission.

     . Flagging predatory conferences and journals.

     . Information seeking behaviour and human-computer interaction in academic 
search.



- Mining the scientific literature, such as:

     . Information extraction, text mining and parsing of scholarly literature.

     . Natural language processing (e.g., citation contexts).

     . Discourse modelling and argument mining.



- Academic search/recommender systems, such as:

     . Modelling the multifaceted nature of scientific information.

     . Building test collections for reproducible BIR.

     . System support for literature search and recommendation.



We especially invite descriptions of running projects and ongoing work as well 
as contributions from industry. Papers that investigate multiple themes 
directly are especially welcome.





=== Aim of the Workshop ===

Searching for scientific information is a long-lived information need.  In the 
early 1960s, Salton (1963) was already striving to enhance information 
retrieval by including clues inferred from bibliographic citations.  The 
development of citation indexes pioneered by Garfield (1955) proved determinant 
for such a research endeavour at the crossroads between the nascent fields of 
Information Retrieval (IR) and Bibliometrics [Bibliometrics refers to the 
statistical analysis of the academic literature (Pritchard, 1969) and plays a 
key role in scientometrics: the quantitative analysis of science and innovation 
(Leydesdorff & Milojevic, 2015)].  The pioneers who established these fields in 
Information Science---such as Salton and Garfield---were followed by scientists 
who specialised in one of these (White & McCain, 1998), leading to the two 
loosely connected fields we know of today.



The purpose of the BIR workshop series founded in 2014 is to tighten up the 
link between IR and Bibliometrics.  We strive to get the ‘retrievalists’ and 
‘citationists’ (White & McCain, 1998) active in both academia and the industry 
together, who are developing search engines and recommender systems such as 
ArnetMiner, CiteSeerX, Google Scholar, Microsoft Academic Search, and Semantic 
Scholar, just to name a few.



These bibliometric-enhanced IR systems must deal with the multifaceted nature 
of scientific information by searching for or recommending academic papers, 
patents, venues (i.e., conferences or journals), authors, experts (e.g., peer 
reviewers), references (to be cited to support an argument), and datasets.  The 
underlying models harness relevance signals from keywords provided by authors, 
topics extracted from the full-texts, coauthorship networks, citation networks, 
and various classifications schemes of science.

Bibliometric-enhanced IR is a hot topic whose recent developments made the 
news---see for instance the Initiative for Open Citations (Shotton, 2018) and 
the Google Dataset Search (Castelvecchi, 2018) launched on September 4, 2018.  
We believe that BIR@ECIR is a much needed scientific event for the 
‘retrievalists’ and ‘citationists’ to meet and join forces pushing the 
knowledge boundaries of IR applied to literature search and recommendation.





   Castelvecchi, D.: Google unveils search engine for open data [News & 
Comment]. Nature (2018). doi:10.1038/d41586-018-06201-x



   Garfield, E.: Citation indexes for science: A new dimension in documentation 
through association of ideas. Science 122(3159), 108–111 (1955). 
doi:10.1126/science.122.3159.108



   Leydesdorff, L., Milojević, S.: Scientometrics. In: Wright, J.D. (ed.) 
International Encyclopedia of the Social & Behavioral Sciences, vol. 21, pp. 
322–327. Elsevier, 2nd edn. (2015). doi:10.1016/b978-0-08-097086-8.85030-8



   Pritchard, A.: Statistical bibliography or bibliometrics? [Documentation 
notes]. Journal of Documentation 25(4), 348–349 (1969). doi:10.1108/eb026482



   Salton, G.: Associative document retrieval techniques using bibliographic 
information. Journal of the ACM 10(4), 440–457 (1963). doi:10.1145/321186.321188



   Shotton, D.: Funders should mandate open citations. Nature 553(7687), 129 
(2018). doi:10.1038/d41586-018-00104-7



   White, H.D., McCain, K.W.: Visualizing a discipline: An author co-citation 
analysis of Information Science, 1972–1995. Journal of the American Society for 
Information Science 49(4), 327–355 (1998). doi:b57vc7





=== Submission Details ===

All submissions must be written in English following Springer LNCS author 
guidelines (6 to 12 pages, pleae see below) and should be submitted as PDF 
files to EasyChair. All submissions will be reviewed by at least two 
independent reviewers. Please be aware of the fact that at least one author per 
paper needs to register for the workshop and attend the workshop to present the 
work. In case of no-show the paper (even if accepted) will be deleted from the 
proceedings AND from the program.



Springer LNCS: 
<http://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines>

EasyChair: <https://easychair.org/conferences/?conf=bir2020>



Workshop proceedings will be deposited online in the CEUR workshop proceedings 
publication service (ISSN 1613-0073) - this way the proceedings will be 
permanently available and citable (digital persistent identifiers and long term 
preservation).





=== Program Committee (to be confirmed) ===

Muhammad Kamran Abbasi, University of Sindh, Pakistan

Iana Atanassova, CRIT, Université de Franche-Comté, France

Sumit Bhatia, IBM Research, India

Joeran Beel, Trinity College Dublin, Ireland

Patrice Bellot, Aix-Marseille Université - CNRS (LSIS), France

Marc Bertin, Université Lyon 1, France

Jose Borbinha, IST / INESC-ID, Portugal

Cornelia Caragea, Kansas State University, USA

Zeljko Carevic, GESIS - Leibniz Institute for the Social Sciences, Germany

Muthu Kumar Chandrasekaran, National University of Singapore, Singapore

Arman Cohan, Allen Institute for Artificial Intelligence (AI2), USA

Nicola Ferro, University of Padova, Italy

Edward Fox, Virginia Polytechnic Institute and State University, USA

Norbert Fuhr, University of Duisburg-Essen, Germany

C. Lee Giles, The Pennsylvania State University, USA

Bela Gipp, Bergische University Wuppertal, Germany

Gilles Hubert, University of Toulouse, France

Peter Ingwersen, University of Copenhagen, Denmark

Kokil Jaidka, University of Pennsylvania, USA

Roman Kern, Know-Center GmbH, Germany

Petr Knoth, The Open University, UK

Marijn Koolen, Huygens Institute for the History of the Netherlands, Netherlands

Rob Koopman, OCLC, The Netherlands

Cyril Labbé, Grenoble University, France

Vincent Larivière, EBSI-UdeM, Canada

Haiming Liu, University of Bedfordshire, UK

Stasa Milojevic, Indiana University Bloomington, USA

Peter Mutschke, GESIS – Leibniz Institute for the Social Sciences, Germany

Rajesh Piryani, South Asian University, India

Horacio Saggion, Universitat Pompeu Fabra, Spain

Philipp Schaer, TH Cologne, Germany

Andrea Scharnhorst, DANS-KNAW, The Netherlands

Ralf Schenkel, Univerisity of Trier, Germany

Vivek Kumar Singh, Banaras Hindu University, India

Henry Small, SciTech Strategies, USA

Cassidy Sugimoto, Indiana University Bloomington, USA

Lynda Tamine, University of Toulouse, France

Ludovic Tanguy, University of Toulouse, France

Ulrich Thiel, Fraunhofer IPA-PAMB, Germany

Dietmar Wolfram, University of Wisconsin-Milwaukee, USA

Haozhen Zhao, Navigant, USA



=== Program Chairs ===

Guillaume Cabanac, University of Toulouse, France

Philipp Mayr, GESIS - Leibniz Institute for the Social Sciences, Germany

Ingo Frommholz, University of Bedfordshire in Luton, UK





This CfP on Twitter 
<https://twitter.com/Philipp_Mayr/status/1184131414868054018>, please retweet!





------------------------------------------------------------

Guillaume Cabanac, PhD

https://www.irit.fr/~Guillaume.Cabanac



University of Toulouse, France

Computer Science Department

IRIT UMR 5505 CNRS