This workshop brings together experts of communities which often have been
perceived as different once: bibliometrics / scientometrics / informetrics on
the one side and information retrieval on the other. Our motivation as
organizers of the workshop started from the observation that main discourses in
both fields are different, that communities are only partly overlapping and
from the belief that a knowledge transfer would be profitable for both sides.
Bibliometric techniques are not yet widely used to enhance retrieval processes
in digital libraries, although they offer value-added effects for users. On the
other side, more and more information professionals, working in libraries and
archives are confronted with applying bibliometric techniques in their
services. This way knowledge exchange becomes more urgent. The first workshop
set the research agenda, by introducing in each other methods, reporting about
current research problems and brainstorming about common interests. This
follow-up workshop continues the overall communication, but also puts one
problem into the focus. In particular, we will explore how statistical
modelling of scholarship can improve retrieval services for specific
communities, as well as for large, cross-domain collections like Mendeley or
ResearchGate. This second BIR workshop continues to raise awareness of the
missing link between Information Retrieval (IR) and bibliometrics and
contributes to create a common ground for the incorporation of
bibliometric-enhanced services into retrieval at the scholarly search engine
interface.Comment: 4 pages, 37th European Conference on Information Retrieval, BIR
worksho