Deadline extended: workshop on Bibliometric-enhanced Information Retrieval (BIR2015) @ECIR 2015

Tue Feb 3 06:54:28 EST 2015

Thank you Dr.Philipp Mayr.
We are planning a paper on dynamics of content selection
and studying how choice theory is applicable here.

I may require travel assistance for attending the conference.
Any support will be available?

Kind regards,

Prabir

On Tue, Feb 3, 2015 at 5:00 PM, Mayr-Schlegel, Philipp <
Philipp.Mayr-Schlegel at gesis.org> wrote:

> Adminstrative info for SIGMETRICS (for example unsubscribe):
> http://web.utk.edu/~gwhitney/sigmetrics.html
>
> == Call for Papers ==
>
> You are invited to participate in the upcoming 2nd workshop on
> Bibliometric-enhanced Information Retrieval (BIR2015), to be held as part
> of the 37th European Conference on Information Retrieval (ECIR).
>
>
>
> http://www.gesis.org/en/events/events-archive/conferences/ecirworkshop2015/
>
>
>
> === Important Dates ===
>
> - Submissions: *08 February (extended)*
>
> - Notification: 27 February 2015
>
> - Camera Ready Contributions: 13 March 2015
>
> - Workshop: 29 March 2015 in Vienna, Austria
>
>
>
> === Aim of the Workshop ===
>
> In this second workshop we aim to engage with the IR community about
> possible links to bibliometrics and complex network theory which also
> explores networks of scholarly communication (see papers and presentations
> of the first workshop
> http://www.gesis.org/en/events/events-archive/conferences/ecirworkshop2014/).
> Bibliometric techniques are not yet widely used to enhance retrieval
> processes in digital libraries, yet they offer value-added effects for
> users. Our interests include information retrieval, information seeking,
> science modelling, network analysis, and digital libraries. The goal is to
> apply insights from bibliometrics, scientometrics, and informetrics to
> concrete practical problems of information retrieval and browsing.
>
>
>
> Retrieval evaluations have shown that simple text-based retrieval methods
> scale up well but do not progress. Traditional retrieval has reached a high
> level in terms of measures like precision and recall, but scientists and
> scholars still face challenges present since the early days of digital
> libraries: mismatches between search terms and indexing terms, overload
> from result sets that are too large and complex, and the drawbacks of
> text-based relevance rankings. Therefore we will focus on statistical
> modelling and corresponding visualizations of the evolving science system.
> Such analyses have revealed not only the fundamental laws of Bradford and
> Lotka, but also network structures and dynamic mechanisms in scientific
> production. Statistical models of scholarly activities are increasingly
> used to evaluate specialties, to forecast and discover research trends, and
> to shape science policy. Their use as tools in navigating scientific
> information in public digital libraries is a promising but still relatively
> new development. We will explore how statistical modelling of scholarship
> can improve retrieval services for specific communities, as well as for
> large, cross-domain collections. Some of these techniques are already used
> in working systems but not well integrated in larger scholarly IR
> environments.
>
> The availability of new IR test collections that contain citation and
> bibliographic information like the iSearch collection or the ACL collection
> could deliver enough ground to interest (again) the IR community in these
> kind of bibliographic systems. The long-term research goal is to develop
> and evaluate new approaches based on informetrics and bibliometrics.
>
>
>
> The aim of this workshop is to bring together researchers and
> practitioners from different domains, such as information retrieval,
> information seeking, science modelling, bibliometrics, scientometrics,
> network analysis, digital libraries, and approaches to visualize search and
> retrieval to move toward a deeper understanding of this research challenge.
>
>
>
> This workshop is also informed by an ongoing COST Action TD1210
> KnowEscape. http://www.knowescape.org
>
>
>
> === Workshop Topics ===
>
> To support the previously described goals the workshop topics include (but
> are not limited to) the following:
>
> - IR for digital libraries and scientific information portals
>
> - IR for scientific domains, e.g. social sciences, life sciences etc.
>
> - Information Seeking Behaviour
>
> - Bibliometrics, citation analysis and network analysis for IR
>
> - Query expansion and relevance feedback approaches
>
> - Science Modelling (both formal & empirical)
>
> - Task based user modelling, interaction, and personalisation
>
> - (Long-term) Evaluation methods and test collection design
>
> - Collaborative information handling and information sharing
>
> - Classification, categorization and clustering approaches
>
> - Information extraction (including topic detection, entity and relation
> extraction)
>
> - Recommendations based on explicit and implicit user feedback
>
>
>
> 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 Springer LNCS author
> guidelines (4 to 8 pages) 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/lncs
>
> EasyChair: https://easychair.org/conferences/?conf=bir20150
>
>
>
> 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).
>
>
>
> === Organizers ===
>
> Philipp Mayr, GESIS - Leibniz Institute for the Social Sciences, Germany
>
> Ingo Frommholz, University of Bedfordshire in Luton, UK
>
> Peter Mutschke, GESIS - Leibniz Institute for the Social Sciences, Germany
>
> Andrea Scharnhorst, DANS, Royal Netherlands Academy of Arts and Sciences
> in Amsterdam, Netherlands
>
>
>
> === Programm Committee ===
>
> José Borbinha, INESC-ID/IST (Portugal)
>
> Guillaume Cabanac, University of Toulouse (France)
>
> Cornelia Caragea, University of North Texas (USA)
>
> Martine De Cock, University of Washington Tacoma (USA)
>
> Ed A. Fox, Virginia Tech (USA)
>
> Norbert Fuhr, University of Duisburg-Essen(Germany)
>
> Björn Hammarfelt, University of Borås (Sweden)
>
> Peter Ingwersen, University of Copenhagen (Denmark)
>
> C. Lee Giles, Pennsylvania State University (USA)
>
> Birger Larsen, Aalborg University (Denmark)
>
> Claus-Peter Klas, GESIS (Germany)
>
> Kris Jack, Mendeley (UK)
>
> Stasa Milojevic, Indiana University (USA)
>
> Philipp Schaer, GESIS (Germany)
>
> Henry Small, SciTech Stategies (USA)
>
> Lynda Tamine-Lechani, University Paul Sabatier (France)
>
> Ulrich Thiel, Fraunhofer IPA-PAMB, Mannheim (Germany)
>
> Simone Teufel, University of Cambridge (UK)
>
> Howard D. White, Drexel University (USA)
>
> Ludo Waltman, CWTS (NL)
>
> Dietmar Wolfram, University of Wisconsin (USA)
>
>
>
>
>
>
>
> Search the Social Sciences
>
> Become a sowiport user! Register here:
>
> http://sowiport.gesis.org/
>
>
>
> --
>
> Dr. Philipp Mayr
>
> Team Leader
>
> 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 at gesis.org
>
> Web: http://www.gesis.org
>
>
>
> SSOAR fulltext repository
>
> http://ssoar.info/
>
>
>

-- 
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