This first "Bibliometric-enhanced Information Retrieval" (BIR 2014) workshop aims to engage with the IR community about possible links to bibliometrics and scholarly communication. 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 co-authorship 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. Our interests include information retrieval, information seeking, science modelling, network analysis, and digital libraries. The goal is to apply insights from bibliometrics, scientometrics, and informetrics to concrete practical problems of information retrieval and browsing.
翻译:第一次“生物量度增强信息检索”讲习班(2014年BIR)(BIR,2014年)旨在就与生物量度和学术通信之间可能的联系与IR社区接触;生物量度技术尚未被广泛用于加强数字图书馆的检索过程,尽管它们为用户提供了增值效应;在这次讲习班中,我们将探讨奖学金的统计建模,例如Bradfordized或共同作者网络网络的网络分析,如何能够改进特定社区以及大型跨域收藏的检索服务;该讲习班旨在提高对信息检索(IR)与生物量度/科学度之间缺失的联系的认识,并为在数字图书馆界面将生物量度强化服务纳入检索过程创造共同基础;我们的兴趣包括信息检索、信息搜索、科学建模、网络分析和数字图书馆。目标是将二线测量、科学测度和反光度的洞察用于信息检索和浏览的具体实际问题。