IRDLSOC-PHOct 30, 2013

Bibliometric-enhanced Information Retrieval

arXiv:1310.8226v19 citations
Originality Synthesis-oriented
AI Analysis

This work aims to bridge the gap between information retrieval and bibliometrics to improve retrieval processes in digital libraries, though it appears incremental as it focuses on raising awareness and exploring existing techniques.

The paper addresses the underutilization of bibliometric techniques in digital library retrieval, proposing their integration to enhance services for specific communities and cross-domain collections.

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.

Foundations

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