> [Apologies for cross posting] > > == First Call for Papers == > You are invited to participate in the upcoming workshop on > Bibliometric-enhanced Information Retrieval (BIR 2014), to be held as part of > the 36th European Conference on Information Retrieval (ECIR). > > http://www.gesis.org/en/events/conferences/ecirworkshop2014/ > > === Important Dates === > - Submissions: 31 January 2014 > - Notification: 28 February 2014 > - Camera Ready Contributions: 14 March 2014 > - Workshop: 13 April 2014 in Amsterdam > > === Aim of the Workshop === > In this 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. 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 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, categorisation 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. > 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: http://www.easychair.org/conferences/?conf=bir2014 > > 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 > Andrea Scharnhorst, DANS, Royal Netherlands Academy of Arts and Sciences in > Amsterdam, Netherlands > Birger Larsen, Aalborg University, Denmark > Philipp Schaer, GESIS - Leibniz Institute for the Social Sciences, Germany > Peter Mutschke, GESIS - Leibniz Institute for the Social Sciences, Germany > > === Programm Committee === > - Cornelia Caragea, University of North Texas (USA) > - Ingo Frommholz, University of Bedfordshire (UK) > - Norbert Fuhr, University of Duisburg-Essen (Germany) > - Daniel Hienert, GESIS - Leibniz Institute for the Social Sciences (Germany) > - Claus-Peter Klas, University of Hagen (Germany) > - Stasa Milojevic, Indiana University (USA) > - Lynda Tamine-Lechani, University Paul Sabatier (France) > - Howard D. White, Drexel University (USA) > - Ed A. Fox, Virginia Tech (USA, to be confirmed) > - C. Lee Giles, Pennsylvania State University (USA, to be confirmed) > - Stephen Robertson, University College London (UK, to be confirmed) > - Henry Small, SciTech Stategies (USA, to be confirmed) > - Simone Teufel, University of Cambridge (UK, to be confiremd) > - Keith van Rijsbergen, University of Glasgow (UK, to be confirmed) > - Xia Lin, Drexel University (USA, to be confimed) > > > > -- > 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: [email protected] > Web: http://www.gesis.org > > New: SSOAR fulltext repository on DSpace > http://ssoar.info/ > > Sowiport social sciences portal with citation browsing > http://www.gesis.org/sowiport/ > > IRM project funded by DFG > http://www.gesis.org/en/research/external-funding-projects/archive/irm/
