Bibliometric-enhanced information retrieval

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

doi:10.1007/978-3-319-06028-6_99

Bibliometric-enhanced information retrieval

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

DANS-KNAW

Research output: Chapter in book/volume › Chapter › Scientific › peer-review

35 Citations (Scopus)

394 Downloads (Pure)

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 language	English
Title of host publication	Bibliometric-enhanced information retrieval
Publisher	Springer Verlag GmbH
Pages	798-801
Number of pages	4
ISBN (Print)	9783319060279
DOIs	https://doi.org/10.1007/978-3-319-06028-6_99
Publication status	Published - 2014

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	8416 LNCS

Keywords

Bibliometrics
Digital Libraries
Information Retrieval
Informetrics
Scientometrics

Access to Document

10.1007/978-3-319-06028-6_99

1310.8226Submitted manuscript, 154 KB

COST TD1210: KNOWeSCAPE – Analyzing the dynamics of information and knowledge landscapes
Scharnhorst, A.
26/04/2013 → 25/04/2017
Project: Research

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Mayr, P., Scharnhorst, A., Larsen, B., Schaer, P., & Mutschke, P. (2014). Bibliometric-enhanced information retrieval. In Bibliometric-enhanced information retrieval (pp. 798-801). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8416 LNCS). Springer Verlag GmbH. https://doi.org/10.1007/978-3-319-06028-6_99

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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.",

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author = "Philipp Mayr and Andrea Scharnhorst and Birger Larsen and Philipp Schaer and Peter Mutschke",

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doi = "10.1007/978-3-319-06028-6_99",

language = "English",

isbn = "9783319060279",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag GmbH",

pages = "798--801",

booktitle = "Bibliometric-enhanced information retrieval",

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Mayr, P, Scharnhorst, A, Larsen, B, Schaer, P & Mutschke, P 2014, Bibliometric-enhanced information retrieval. in Bibliometric-enhanced information retrieval. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 8416 LNCS, Springer Verlag GmbH, pp. 798-801. https://doi.org/10.1007/978-3-319-06028-6_99

Bibliometric-enhanced information retrieval. / Mayr, Philipp; Scharnhorst, Andrea; Larsen, Birger et al.
Bibliometric-enhanced information retrieval. Springer Verlag GmbH, 2014. p. 798-801 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8416 LNCS).

Research output: Chapter in book/volume › Chapter › Scientific › peer-review

TY - CHAP

T1 - Bibliometric-enhanced information retrieval

AU - Mayr, Philipp

AU - Scharnhorst, Andrea

AU - Larsen, Birger

AU - Schaer, Philipp

AU - Mutschke, Peter

PY - 2014

Y1 - 2014

N2 - 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.

AB - 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.

KW - Bibliometrics

KW - Digital Libraries

KW - Information Retrieval

KW - Informetrics

KW - Scientometrics

U2 - 10.1007/978-3-319-06028-6_99

DO - 10.1007/978-3-319-06028-6_99

M3 - Chapter

SN - 9783319060279

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 798

EP - 801

BT - Bibliometric-enhanced information retrieval

PB - Springer Verlag GmbH

ER -

Bibliometric-enhanced information retrieval

Abstract

Publication series

Keywords

Access to Document

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Projects

COST TD1210: KNOWeSCAPE – Analyzing the dynamics of information and knowledge landscapes

Cite this