207 research outputs found
Bibliometric-enhanced Information Retrieval: 2nd International BIR Workshop
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
Editorial for the Bibliometric-enhanced Information Retrieval Workshop at ECIR 2014
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.Comment: 4 pages, Bibliometric-enhanced Information Retrieval Workshop at ECIR
2014, Amsterdam, N
Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2017)
The large scale of scholarly publications poses a challenge for scholars in
information seeking and sensemaking. Bibliometrics, information retrieval (IR),
text mining and NLP techniques could help in these search and look-up
activities, but are not yet widely used. This workshop is intended to stimulate
IR researchers and digital library professionals to elaborate on new approaches
in natural language processing, information retrieval, scientometrics, text
mining and recommendation techniques that can advance the state-of-the-art in
scholarly document understanding, analysis, and retrieval at scale. The BIRNDL
workshop at SIGIR 2017 will incorporate an invited talk, paper sessions and the
third edition of the Computational Linguistics (CL) Scientific Summarization
Shared Task.Comment: 2 pages, workshop paper accepted at the SIGIR 201
Mr. DLib: Recommendations-as-a-Service (RaaS) for Academia
Only few digital libraries and reference managers offer recommender systems,
although such systems could assist users facing information overload. In this
paper, we introduce Mr. DLib's recommendations-as-a-service, which allows third
parties to easily integrate a recommender system into their products. We
explain the recommender approaches implemented in Mr. DLib (content-based
filtering among others), and present details on 57 million recommendations,
which Mr. DLib delivered to its partner GESIS Sowiport. Finally, we outline our
plans for future development, including integration into JabRef, establishing a
living lab, and providing personalized recommendations.Comment: Accepted for publication at the JCDL conference 201
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