Bibliometric-enhanced information retrieval

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 -