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SWM 2017 : 1st Workshop on Scholarly Web Mining

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Link: https://ornlcda.github.io/SWM2017/
 
When Feb 10, 2017 - Feb 10, 2017
Where Cambridge, UK
Submission Deadline Nov 11, 2016
Notification Due Dec 5, 2016
Final Version Due Jan 13, 2017
Categories    data mining   natural language processing   web mining   scholarly data
 

Call For Papers

Workshop page: https://ornlcda.github.io/SWM2017/
Conference page: http://www.wsdm-conference.org/2017/

1. Introduction

Researchers increasingly report their results through online publications, from research papers, data and software to experiments, observations and ideas. Immense amount of research-related data is available on the web on interlinked pages, in repositories, databases, social networking sites, etc. Consequently, researchers rely on online sources, often through search engines, to perform literature searches for their research — to search for papers, topics, people etc. to be able to produce new research. However, these publications can be used not only for traditional literature searches, but also as a source for discovering popular and emerging research topics, key publications and people or evaluating research excellence. To aid research, it is important to leverage the potential of data mining technologies to improve the process of how research is being done.

2. Expected audience

This workshop aims to bring together people from different backgrounds who are interested in analysing and mining scholarly data available via web and social media sources using various approaches such as query log mining, graph analysis, text mining, etc., and/or who develop systems that enable such analysis and mining.

3. Topics

The topics of this workshop include, but are not limited to:

* Crawling, harvesting and detecting scholarly outputs on the web, such as publications, datasets, research blogs, research forums, research communication on social networks, etc.
* Large scale information extraction of scholarly research outputs to identify research methods, techniques, tools, citation contexts, research outcomes, such as new relationships, arguments, such as support and contradiction, etc.
* Knowledge representation and acquisition from research papers and scientific data
* Detecting research fronts and emerging topics, cross-fertilization between disciplines, current key publications and people
* Research impact and quality (for example evaluation of research publications and other research outputs, evaluation of individual researchers, institutions, countries, etc.), alternative metrics (Webometrics, Altmetrics, Semantometrics)
* Collaboration studies and social network analysis of research communities
* Connecting and interlinking publications, data, tweets, blogs, etc. or their parts
* Data sources of research related data: coverage, accuracy and reliability
* Applications and case studies of mining from scientific databases and publications

4. Submission format

Authors are invited to submit full papers with unpublished, original work of not more than 8 pages. All papers should be formatted using the ACM style (see http://www.acm.org/sigs/publications/proceedings-templates). Papers should be submitted using the EasyChair system at https://easychair.org/conferences/?conf=swm2017.

5. Important dates

November 18 -- Submission deadline
December 16 -- Notification of acceptance
January 27 -- Camera ready
February 10 -- Workshop

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

6. Keynote speakers

Johanna McEntyre, EMBL-EBI
UNSILO (http://unsilo.com), speaker TBA
FutureTDM (http://www.futuretdm.eu/), speaker TBA

7. Organizing committee

Robert Patton, Oak Ridge National Laboratory, USA
Thomas Potok, Oak Ridge National Laboratory, USA
Petr Knoth, The Open University, UK
Drahomira Herrmannova, The Open University, UK

8. Program committee

https://ornlcda.github.io/SWM2017/programcommittee.html

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IEEE TETC SI 2017   IEEE Transactions on Emerging Topics in Computing, Special Issue on Scholarly Big Data
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