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Scientometrics 2017
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ABOUT



Scientometrics Workshop

at the Extended Semantic Web Conference (ESWC) 2017

May 28th, 2017

Abstract

Scientometrics is a field of research that analyses and measures science and
technology research and innovation. When it comes to scientometrics the Semantic
Web community has both much to offer and much to gain. On the one hand, we are
very well positioned to integrate and analyse the complex data that is needed in
order to push the field forward. On the other, we need to demonstrate the impact
we as researchers and we the Semantic Web community have one academia, business
and society. With this workshop we have identified a critical mass of people
that are interested in scientometrics and aim to build a community, whose
function is to identify research challenges and opportunities, align our
research efforts and encourage the broader Semantic Web community to apply their
existing tools and technologies to the field of scientometrics.

Motivation and Objectives

The Semantic Web has been an area of intense research for many years. Over the
years there has been a number of papers that provide insight into research
topics and trends within the Semantic Web community (Berners-Lee et al., 20011 ,
Feigenbaum et al., 20092 , Bernstein et al., 20163 ). At the same time there
have been several initiatives that aim to make research data more accessible
(Semantic Web Dog Food, Microsoft Academic Search, DBLP, Scholarly Data, Linked
Research) and a number of tools have emerged that allow us to gain insights into
the topics, people and organisations that define our community (Rexplore,
Saffron, SWJPortal).

In order to analyse the characteristics of scientific research and the
mechanisms by which scientific results are disseminated to academia, business
and society, analysis of complex data is required. Besides citation networks,
scientific communities are interconnected by co-working relations,
co-organisation of events, participation in projects and excellence networks.
The entities involved are manyfold (scientists, organisations of different types
-academia, research institutes, industry, publishers-, events and venues,
publications, locations, projects, funding agencies, etc.) and consequently the
research topics that are themselves highly interconnected span these complex
networks. The tools required for modelling, storing and reasoning on top of such
complex and interconnected data have been long researched in the Semantic Web
community. Consequently, our community is ideally positioned to integrate and
analyse the complex data that is needed in order to push the scientometrics
field forward.

Furthermore, much more could be done in terms of: automatically analysing the
impact we as a community have on science and engineering; tracking the diffusion
of topics between different research communities and into industry; and using
alternative means to measure researcher impact beyond traditional measures such
as paper output and impact in terms of citations. The first step is to make more
data on community activities available (e.g. editorship, organising committee,
program committee, academic lineage, industry white papers, participation in
dataset/ontology/tool development, etc…) and the second is to better understand
what we as a community can offer in terms of scientometrics.

As such, the goals of the workshop are threefold:

(i) to consolidate existing research efforts that focus on research data
publishing and topic, trend and community analysis;

(ii) to identify existing tools and techniques that can be used to identify
trends, to examine the diffusion of topics between academia to industry, and to
measure the impact that our research has on society and business; and

(iii) to demonstrate what our community can contribute to scientometrics on a
much broader scale, beyond the Semantic Web Community.

 

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RECENT POSTS

 * Semantic Web Researchers Call to Action
 * Announcing the 1st Scientometrics Workshop @ ESWC



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