55 research outputs found
Scientometrics and Information Retrieval - weak-links revitalized
This special issue brings together eight papers from experts of communities
which often have been perceived as different once: bibliometrics,
scientometrics and informetrics on the one side and information retrieval on
the other. The idea of this special issue started at the workshop "Combining
Bibliometrics and Information Retrieval" held at the 14th International
Conference of Scientometrics and Informetrics, Vienna, July 14-19, 2013. Our
motivation as guest editors 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.Comment: 8 pages, 1 figure, editorial for a special issue to appear in
Scientometric
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
Editorial for the First Workshop on Mining Scientific Papers: Computational Linguistics and Bibliometrics
The workshop "Mining Scientific Papers: Computational Linguistics and
Bibliometrics" (CLBib 2015), co-located with the 15th International Society of
Scientometrics and Informetrics Conference (ISSI 2015), brought together
researchers in Bibliometrics and Computational Linguistics in order to study
the ways Bibliometrics can benefit from large-scale text analytics and sense
mining of scientific papers, thus exploring the interdisciplinarity of
Bibliometrics and Natural Language Processing (NLP). The goals of the workshop
were to answer questions like: How can we enhance author network analysis and
Bibliometrics using data obtained by text analytics? What insights can NLP
provide on the structure of scientific writing, on citation networks, and on
in-text citation analysis? This workshop is the first step to foster the
reflection on the interdisciplinarity and the benefits that the two disciplines
Bibliometrics and Natural Language Processing can drive from it.Comment: 4 pages, Workshop on Mining Scientific Papers: Computational
Linguistics and Bibliometrics at ISSI 201
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
Mining Scientific Papers for Bibliometrics: a (very) Brief Survey of Methods and Tools
The Open Access movement in scientific publishing and search engines like
Google Scholar have made scientific articles more broadly accessible. During
the last decade, the availability of scientific papers in full text has become
more and more widespread thanks to the growing number of publications on online
platforms such as ArXiv and CiteSeer. The efforts to provide articles in
machine-readable formats and the rise of Open Access publishing have resulted
in a number of standardized formats for scientific papers (such as NLM-JATS,
TEI, DocBook). Our aim is to stimulate research at the intersection of
Bibliometrics and Computational Linguistics in order to study the ways
Bibliometrics can benefit from large-scale text analytics and sense mining of
scientific papers, thus exploring the interdisciplinarity of Bibliometrics and
Natural Language Processing.Comment: 2 pages, paper accepted for the 15th International Society of
Scientometrics and Informetrics Conference (ISSI
Getting to Know Altmetrics
Question: How will citation metrics help advance your career and understand the scholars in your field?
Rationale: In this presentation, learn about the statistics that are tracked electronically, which scholarship resources are included, and who is doing the tracking; how citation statistics can help you land your dream job or assist in helping you land your dream employee. The numbers are in, and you\u27ll be surprised how your research publications are being measured. Find out how your scholarship can affect your lifetime career.
In the past, the evaluation of academic publications by librarians and information professionals used re-shelving statistics in order to examine the value of scholarly materials, however, this was not useful for individual journal articles. Due to the electronic age, now full-text downloads and electronic accesses are the data that can track the use and readership of a scholar\u27s work. How is this important? These new methods of tracking the readership usage of scholarship materials is referred to as Alternative Metrics, or Altmetrics. Specific publishers are tracking the metrics to showcase the strong scholar. How will you stand out? Who are the strong academic writers in your subject area
- …