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Bibliometric-Enhanced Information Retrieval: 3rd International BIR Workshop

  • Philipp Mayr
  • Ingo Frommholz
  • Guillaume Cabanac
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9626)

Abstract

The BIR workshop brings together experts in Bibliometrics and Information Retrieval. While sometimes perceived as rather loosely related, these research areas share various interests and face similar challenges. Our motivation as organizers of the BIR workshop stemmed from a twofold observation. First, both communities only partly overlap, albeit sharing various interests. Second, it will be profitable for both sides to tackle some of the emerging problems that scholars face today when they have to identify relevant and high quality literature in the fast growing number of electronic publications available worldwide. Bibliometric techniques are not yet used widely to enhance retrieval processes in digital libraries, although they offer value-added effects for users. Information professionals working in libraries and archives, however, are increasingly confronted with applying bibliometric techniques in their services. The first BIR workshop in 2014 set the research agenda by introducing each group to the other, illustrating state-of-the-art methods, reporting on current research problems, and brainstorming about common interests. The second workshop in 2015 further elaborated these themes. This third BIR workshop aims to foster a common ground for the incorporation of bibliometric-enhanced services into scholarly search engine interfaces. In particular we will address specific communities, as well as studies on large, cross-domain collections like Mendeley and ResearchGate. This third BIR workshop addresses explicitly both scholarly and industrial researchers.

Keywords

Bibliometrics Scientometrics Informetrics Information retrieval Digital libraries 

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Philipp Mayr
    • 1
  • Ingo Frommholz
    • 2
  • Guillaume Cabanac
    • 3
  1. 1.GESIS – Leibniz Institute for the Social SciencesCologneGermany
  2. 2.Department of Computer Science and TechnologyUniversity of BedfordshireLutonUK
  3. 3.Department of Computer Science, IRIT UMR 5505 CNRSUniversity of ToulouseToulouse Cedex 9France

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