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

^*Corresponding author for this work

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

35 Citations (Scopus)

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 retrieval services for specific communities, as well as for large, cross-domain collections. This workshop aims to raise awareness of the missing link between information retrieval (IR) and bibliometrics / scientometrics and to create a common ground for the incorporation of bibliometric-enhanced services into retrieval at the digital library interface.

Original language	English
Title of host publication	Advances in Information Retrieval : 36th European Conference on IR Research, ECIR 2014, Amsterdam, The Netherlands, April 13-16, 2014. Proceedings
Number of pages	4
Volume	8416
Publisher	Springer
Publication date	2014
Pages	798-801
ISBN (Print)	978-3-319-06027-9
ISBN (Electronic)	978-3-319-06028-6
DOIs	https://doi.org/10.1007/978-3-319-06028-6_99
Publication status	Published - 2014
Externally published	Yes
Event	European Conference on IR Research - Amsterdam, Netherlands Duration: 13 Apr 2014 → 16 Apr 2014 Conference number: 36

Conference

Conference	European Conference on IR Research
Number	36
Country/Territory	Netherlands
City	Amsterdam
Period	13/04/2014 → 16/04/2014

Series	Lecture Notes in Computer Science
Volume	8416
ISSN	0302-9743

Keywords

Bibliometrics
Digital Libraries
Information Retrieval
Informetrics
Scientometrics

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

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Cite this

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title = "Bibliometric-enhanced information retrieval",

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 retrieval services for specific communities, as well as for large, cross-domain collections. This workshop aims to raise awareness of the missing link between information retrieval (IR) and bibliometrics / scientometrics and to create a common ground for the incorporation of bibliometric-enhanced services into retrieval at the digital library interface.",

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volume = "8416",

series = "Lecture Notes in Computer Science",

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address = "Germany",

note = "European Conference on IR Research ; Conference date: 13-04-2014 Through 16-04-2014",

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Mayr, P, Scharnhorst, A, Larsen, B, Schaer, P & Mutschke, P 2014, Bibliometric-enhanced information retrieval. in Advances in Information Retrieval: 36th European Conference on IR Research, ECIR 2014, Amsterdam, The Netherlands, April 13-16, 2014. Proceedings. vol. 8416, Springer, Lecture Notes in Computer Science, vol. 8416, pp. 798-801, European Conference on IR Research, Amsterdam, Netherlands, 13/04/2014. https://doi.org/10.1007/978-3-319-06028-6_99

Bibliometric-enhanced information retrieval. / Mayr, Philipp; Scharnhorst, Andrea; Larsen, Birger et al.
Advances in Information Retrieval: 36th European Conference on IR Research, ECIR 2014, Amsterdam, The Netherlands, April 13-16, 2014. Proceedings. Vol. 8416 Springer, 2014. p. 798-801 (Lecture Notes in Computer Science, Vol. 8416).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

T1 - Bibliometric-enhanced information retrieval

AU - Mayr, Philipp

AU - Scharnhorst, Andrea

AU - Larsen, Birger

AU - Schaer, Philipp

AU - Mutschke, Peter

N1 - Conference code: 36

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 retrieval services for specific communities, as well as for large, cross-domain collections. This workshop aims to raise awareness of the missing link between information retrieval (IR) and bibliometrics / scientometrics and to create a common ground for the incorporation of bibliometric-enhanced services into retrieval 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 retrieval services for specific communities, as well as for large, cross-domain collections. This workshop aims to raise awareness of the missing link between information retrieval (IR) and bibliometrics / scientometrics and to create a common ground for the incorporation of bibliometric-enhanced services into retrieval 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 - Article in proceeding

AN - SCOPUS:84899939063

SN - 978-3-319-06027-9

VL - 8416

T3 - Lecture Notes in Computer Science

SP - 798

EP - 801

BT - Advances in Information Retrieval

PB - Springer

T2 - European Conference on IR Research

Y2 - 13 April 2014 through 16 April 2014

ER -

Mayr P, Scharnhorst A, Larsen B, Schaer P, Mutschke P. Bibliometric-enhanced information retrieval. In Advances in Information Retrieval: 36th European Conference on IR Research, ECIR 2014, Amsterdam, The Netherlands, April 13-16, 2014. Proceedings. Vol. 8416. Springer. 2014. p. 798-801. (Lecture Notes in Computer Science, Vol. 8416). doi: 10.1007/978-3-319-06028-6_99

Bibliometric-enhanced information retrieval

Abstract

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Keywords

Access to Document

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