Bibliometric-enhanced information retrieval

Philipp Mayr, Andrea Scharnhorst, Birger Larsen, Philipp Schaer, Peter Mutschke

Research output: Chapter in book/volumeChapterScientificpeer-review

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Abstract

Bibliometric techniques are not yet widely used to enhance retrieval processes in digital libraries, although they offer value-added effects for users. In this workshop we will explore how statistical modelling of scholarship, such as Bradfordizing or network analysis of coauthorship network, can improve re-trieval services for specific communities, as well as for large, cross-domain col-lections. This workshop aims to raise awareness of the missing link between in-formation retrieval (IR) and bibliometrics/scientometrics and to create a com-mon ground for the incorporation of bibliometric-enhanced services into re-trieval at the digital library interface.
Original languageEnglish
Title of host publicationBibliometric-enhanced information retrieval
PublisherSpringer Verlag GmbH
Pages798-801
Number of pages4
ISBN (Print)9783319060279
DOIs
Publication statusPublished - 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8416 LNCS

Keywords

  • Bibliometrics
  • Digital Libraries
  • Information Retrieval
  • Informetrics
  • Scientometrics

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