[InetBib] CfP BIR@ECIR2022 - 12th International Workshop on Bibliometric-enhanced Information Retrieval

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

Dear colleagues,

You are invited to submit to the 12th international workshop on 
Bibliometric-enhanced Information Retrieval (BIR 2022),
to be held as part of the 44th European Conference on Information Retrieval 
(ECIR 2022, https://ecir2022.org/).

https://sites.google.com/view/bir-ws/bir-2022

=== Important Dates ===
All dates are in Anywhere on Earth - AoE Time Zone

- Submissions: 24 January 2022
- Notifications: 01 March 2022
- Camera Ready Contributions: 22 March 2022
- Workshop: 10 April 2022

=== tl;dr ===
The Bibliometric-enhanced Information Retrieval (BIR) workshop series at ECIR
tackles issues related to academic search, at the intersection 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 with ECIR 2022.

An overview of the BIR/BIRNDL workshop series can be found at
https://sites.google.com/view/bir-ws/home. 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 the 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.

 - Dataset development for bibliographic research

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.

=== Submission Details ===
All submissions must be written in English following the CEURART 1-column paper
style (6 to 12 pages, please 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.

CEURART (incl. LaTeX and Word templates)
https://ceurws.wordpress.com/2020/03/31/ceurws-publishes-ceurart-paper-style/

Submissions via EasyChair:
https://easychair.org/conferences/?conf=bir2022

Page limits:
  Full paper: 12 pages excluding references
  Short paper: 6 pages excluding references

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 Chairs ===
Ingo Frommholz, University of Wolverhampton, UK
Philipp Mayr, GESIS - Leibniz Institute for the Social Sciences, Germany
Guillaume Cabanac, University of Toulouse, France
Suzan Verberne, Leiden University, the Netherlands


--
Dr. Philipp Mayr
Team Leader Information & Data Retrieval

GESIS - Leibniz Institute for the Social Sciences
Unter Sachsenhausen 6-8,  D-50667 Köln, Germany
Tel: + 49 (0) 221 / 476 94 -533
Email: philipp.mayr@xxxxxxxxx<mailto:philipp.mayr@xxxxxxxxx>
Web: http://www.gesis.org<http://www.gesis.org/>