Combining Bibliometrics and Information Retrieval

Abstract

Bibliometric techniques are not yet widely used to enhance retrieval processes in digital libraries, yet they offer value-added effects for users. How can we build scholarly information systems that explicitly use them at the user-system interface? We will explore how network analysis, statistical modelling, and mapping of scholarship can improve retrieval services for specific communities, as well as for large, cross-domain collections. Some of these techniques are already used in working systems; others are envisioned for the future. We will ask: how can models of science be interrelated with scholarly, task-oriented searching? And can insights from searching improve the science models themselves? This workshop aims to raise awareness of the missing link and to create a common ground for the incorporation of science models into retrieval at the digital library interface. It will involve keynote talks, research project reports, demonstrations, and a panel discussion on next-generation services. 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.