WOSP 2018 - 7th International Workshop on Mining Scientific Publications

Workshop page: https://wosp.core.ac.uk/lrec2018/
Conference page: http://lrec2018.lrec-conf.org/en/
Twitter: https://twitter.com/wospworkshop
1. INTRODUCTION
The entire body of research literature is currently estimated at 100-150 million publications with an annual increase of around 1.5 million. Research literature constitutes the most complete representation of knowledge we have assembled as human species. It enables us to develop cures to diseases, solve difficult engineering problems and answer many of the world’s challenges we are facing today. Systematically reading and analysing the full body of knowledge is now beyond the capacities of any human being. Consequently, it is important to better understand how we can leverage Natural Language Processing/Text Mining techniques to aid knowledge creation and improve the process by which research is being done.
This workshop aims to bring together people from different backgrounds who:
(a) have experience with analysing and mining databases of scientific publications,
(b) develop systems that enable such analysis and mining of scientific databases (especially those who publication 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 and data mining.
3. Analysis of large databases of scientific publications to identify research trends, high impact and improve access to research content.
3. SPECIAL OPEN PUBLICATIONS DATASET TRACK
This year we would like to invite the workshop participants to makes use of the CORE publications dataset containing over 8 million full texts of research papers 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. The dataset is available through the CORE portal: http://core.ac.uk/intro/data_dumps
In addition to offering the dataset we are also considering to run a shared task involving the use of the OpenMinTeD infrastructure for mining scientific papers.
4. 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 LREC 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. All submissions will be uploaded to the START system for a peer-review.
The LREC proceedings template can be found on the LREC website: http://lrec2018.lrec-conf.org/en/submission/author.... Papers should be submitted using the START system, which will be provided shortly.
5. IMPORTANT DATES
Wednesday, March 7, 11:59 (Hawaii time) -- Submission deadline
Saturday, April 7 -- Notification of acceptance
Saturday, April 21 -- Camera-ready
Monday, May 7 -- Workshop
The dates are at this stage indicative only and can change.
6. KEYNOTE SPEAKERS
TBD
7. ORGANISING COMMITTEE
Petr Knoth, Knowledge Media institute, The Open University, UK
Drahomira Herrmannova, Oak Ridge National Laboratory, USA
Richard Eckart de Castilho, Technische Universität Darmstadt, Germany
8. PROGRAMME COMMITTEE (tentative - based on 2017)
Iana Atanassova, CRIT, Université de Bourgogne Franche-Comté, France
Joeran Beel, Trinity College, University of Dublin, Ireland
Marc Bertin, Paris-Sorbonne University, France
Pável Calado, Instituto Superior Técnico, Universidade de Lisboa, Portugal
Tanmoy Chakraborty, University of Maryland, USA
Aristotelis Charalampous, KMi,The Open University, UK
Daniel Duma, University of Edinburgh, UK
Shang Gao, Oak Ridge National Laboratory, USA
Christopher G. Harris, SUNY Oswego, USA
Saeed Ul Hassan, Information Technology University, Pakistan
Antoine Isaac, Europeana & VU University Amsterdam, The Netherlands
Roman Kern, Graz University of Technology,Austria
Martin Klein, Los Alamos National Laboratory, USA
Birger Larsen, Aalborg University Copenhagen, Denmark
Paolo Manghi, ISTI-CNR, Italy
Bruno Martins, Instituto Superior Técnico, Universidade de Lisboa, Portugal
Philipp Mayr, GESIS - Leibniz Institute for the Social Sciences, Germany
Peter Mutschke, GESIS - Leibniz Institute for the Social Sciences, Germany
Franco Maria Nardini, ISTI-CNR, Italy
Francesco Osborne, KMi, The Open University, UK
John X. Qiu, Oak Ridge National Laboratory/University of Tennessee, USA
Eloy Rodrigues, Universidade do Minho, Portugal
Angelo Antonio Salatino, KMi, The Open University, UK
Pavel Smrz, Brno University of Technology, Czech Republic
Mike Thelwall, University of Wolverhampton, UK
Vetle Torvik, University of Illinois, USA
Michael T. Young, Oak Ridge National Laboratory, USA