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WOSP 2014 : 3rd International Workshop on Mining Scientific Publications (associated with DL 2014)

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Link: http://core-project.kmi.open.ac.uk/dl2014/
 
When Sep 12, 2014 - Sep 12, 2014
Where London, United Kingdom
Submission Deadline Jul 13, 2014
Notification Due Aug 11, 2014
Final Version Due Aug 25, 2014
Categories    digital libraries   natural language processing   e-infrastructures   data mining
 

Call For Papers

1. INTRODUCTION

Digital libraries that store scientific publications are becoming
increasingly central to the research process. They are not only used
for traditional tasks, such as finding and storing research outputs,
but also as a source for discovering new research trends or evaluating
research excellence. With the current growth of scientific publications
deposited in digital libraries, it is no longer sufficient to provide
only access to content. To aid research it is especially important
to improve the process of how research is being done.

The recent development in natural language processing, information
retrieval and the semantic web make it possible to transform the way
we work with scientific publications. However, in order to be able
to improve these technologies and carry out experiments, researchers
need to be able to easily access and use large databases of scientific
publications.

This workshop aims to bring together people from different backgrounds who:

(a) are interested in analysing and mining databases of scientific
publications,

(b) develop systems that enable such analysis and mining of scientific
databases or

(c) who develop novel technologies that improve the way research is being done.

2. TOPICS

The topics of the workshop will be organised around the following themes:

1) The whole ecosystem of infrastructures including repositories, aggregators,
text-and data-mining facilities, impact monitoring tools, datasets, services
and APIs that enable analysis of large volumes of scientific publications.

2) Semantic enrichment of scientific publications by means of text-mining,
crowdsourcing or other methods.

3) Analysis of large databases of scientific publications to identify
research trends, high impact, cross-fertilisation between disciplines,
research excellence etc.

Topics of interest relevant to theme 1 include, but are not limited to:

- Infrastructures including repositories, aggregators,
text-and data-mining facilities, impact monitoring tools, datasets,
services and APIs for accessing scientific publications and/or
research data. The existence of datasets, services, systems and
APIs (in particular those that are open) providing access to large
volumes of scientific publications and research data, is an essential
prerequisite for being able to research and develop new technologies
that can transform the way people do research.

Topics of interest relevant to theme 2 include, but are not limited to:

- Novel information extraction and text-mining approaches to semantic
enrichment of publications.
- Automatic categorization and clustering of scientific publications.
- New methods and models for connecting and interlinking scientific
publications.
- Models for semantically representing and annotating publications.
- Semantically enriching/annotating publications by crowdsourcing.

Topics of interest relevant to theme 3 include, but are not limited to:

- New methods, models and innovative approaches for measuring impact
of publications.
- New methods for measuring performance of researchers.
- Evaluating impact of research groups.
- Methods for identifying research trends and cross-fertilization
between research disciplines.
- Application and case studies of mining from scientific databases
and publications.
- Improving the infrastructure of repositories to support
the development and integration of new impact and performance metrics.

3. SPECIAL OPEN PUBLICATIONS DATASET TRACK

This year we would like to invite the workshop participants to make use of
the CORE publications dataset containing large volume of research publications
from a wide variety of research areas. The dataset contains not only
full-texts, but also an enriched version of publications’ metadata. This
dataset provides a framework for developing and testing methods and tools
addressing the workshop topics. The use of this dataset is not mandatory,
however it is encouraged.

A new data dump will be made available at http://core.kmi.open.ac.uk/intro/data_dumps shortly.

4. EXPECTED AUDIENCE

The workshop on Mining Scientific Publications aims to bring together
researchers, digital library developers and practitioners from government
and industry to address the current challenges in the domain of mining
scientific publications.

5. SUBMISSION FORMAT

We invite submissions related to the workshop’s topics. Long papers
should not exceed 8 pages and short papers should not exceed 4 pages
of the ACM style. Furthermore, we welcome demo presentations of
systems or methods. A demonstration submission should consist of a
maximum two page description of the system, method or tool to be demonstrated.

6. IMPORTANT DATES

July 13, 2014 - Submission deadline
August 11, 2014 - Notification of acceptance
August 25, 2014 - Camera-ready
September 12, 2014 - Workshop

The dates are at this stage indicative only and can change.

7. KEYNOTE SPEAKERS

TBD - more information will be available soon on the website.

8. PUBLICATION

Articles presented at this workshop will be published in the November issue of D-Lib (http://www.dlib.org/). Proceedings from the previous workshops are also available here.

9. ORGANIZING COMMITTEE

Petr Knoth, Knowledge Media institute, The Open University, UK
Zdenek Zdrahal, Knowledge Media institute, The Open University, UK
Stelio Piperidis, Institute for Language and Speech processing (META-SHARE),
Athena Research Center, Greece
Nuno Freire, The European Library, The Netherlands
Kris Jack, Mendeley Ltd., United Kingdom
Drahomira Herrmannova, Knowledge Media institute, The Open University, UK
Lucas Anastasiou, Knowledge Media institute, The Open University, UK

More details available on the workshop website:
http://core-project.kmi.open.ac.uk/dl2014/

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