[InetBib] CFP 2nd Workshop on Mining Scientific Papers: Computational Linguistics and Bibliometrics (CLBib-2017) @ISSI2017

["Mayr-Schlegel, Philipp via InetBib" <inetbib@xxxxxxxxxx>]

== Call for Papers ==

You are invited to participate in the upcoming Second Workshop on Mining 
Scientific Papers: Computational Linguistics and Bibliometrics (CLBib-2017), to 
be held as part of the 16th International Society of Scientometrics and 
Informetrics Conference (ISSI-2017, October 16-20, Wuhan, China, 
http://www.issi2017.org/).

The call for papers is available at: https://easychair.org/cfp/CLBib2017


=== Important Dates ===

- Abstract registration deadline: September 3, 2017
- Submission deadline: September 10, 2017
- Notification of acceptance: September 30, 2017
- Camera-ready papers: October 6, 2017
- Workshop: October 16-20, 2017 (exact date to be confirmed), Wuhan, China


=== Scope and Aim of the Workshop ===

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), full-text datasets for research experiments (PubMed, JSTOR, 
etc.) and corpora (iSearch, etc.). At the same time, research in the field of 
Natural Language Processing have provided a number of open source tools for 
versatile text processing (e.g. NLTK, Mallet, OpenNLP, CoreNLP, Gate, 
CiteSpace).

Scientific papers are highly structured texts and display specific properties 
related to their references but also argumentative and rhetorical structure. 
Recent research in this field has concentrated on the construction of 
ontologies for citations and scientific articles (e.g. CiTO, LinkedScience1) 
and studies of the distribution of references . However, up to now full-text 
mining efforts are rarely used to provide data for bibliometric analyses. While 
bibliometrics traditionally relies on the analysis of metadata of scientific 
papers (see e.g. a recent special issue on Combining Bibliometrics and 
Information Retrieval, Mayr & Scharnhorst, 2015), we will explore the ways 
full-text processing of scientific papers and linguistic analyses can play. 
With this workshop we like to discuss novel approaches and provide insights 
into scientific writing that can bring new perspectives to understand both the 
nature of citations and the nature of scientific articles. The possibility to 
enrich metadata by the full-text processing of papers offers new fields of 
application to bibliometrics studies.

Working with full text allows us to go beyond metadata used in bibliometrics. 
Full text offers a new field of investigation, where the major problems arise 
around the organization and structure of text, the extraction of information 
and its representation on the level of metadata. Furthermore, the study of 
contexts around in-text citations offers new perspectives related to the 
semantic dimension of citations. The analyses of citation contexts and the 
semantic categorization of publications will allow us to rethink co-citation 
networks, bibliographic coupling and other bibliometric techniques.

The workshop aims to bring 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. 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?



=== Goals of the workshop ===

The workshop aims to bring 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.

The first edition of this workshop, co-located with ISSI 2015, attracted more 
than 70 participants and six full paper contributions, showing a large interest 
in these topics in the community. The goal of this second edition of the 
workshop is to continue to encourage the collaboration between these two 
domains and 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?

See the proceedings of the first edition of the workshop: 
http://ceur-ws.org/Vol-1384/.



=== Submission Guidelines ===

All papers must be original and not simultaneously submitted to another journal 
or conference.

All submissions must be written in English up to 6 pages and following the ISSI 
2017 Template for full papers.

Submissions require registration as a user in the EasyChair system. Please go 
to <https://easychair.org/conferences/?conf=clbib2017> to register.

All submissions will be reviewed by at least two independent reviewers. Please 
be aware of the fact that at least one author per paper needs to register for 
the workshop and attend the workshop to present the work.

The accepted papers will be invited for a publication in a special issue of the 
Journal Frontiers in Research Metrics and Analytics 
<http://journal.frontiersin.org/journal/research-metrics-and-analytics>.



=== Workshop Topics ===

Topics include (but are not limited to) the following:

- Linguistic modeling and discourse analysis for scientific texts
- User interfaces, text representations and visualizations
- Structure of scientific articles (discourse / argumentative / rhetorical / 
social)
- Scientific corpora and paper standards
- Act of citations, in-text citations and Content Citation Analysis
- Co-citation and bibliographic coupling
- Text enhanced bibliographic coupling
- Terminology extraction
- Text mining and information extraction
- Scientific information retrieval
- Ontological descriptions of scientific content
- Knowledge extraction

The workshop will involve research project reports, system demonstrations and a 
panel discussion on the perspectives for the development of new text analytics 
approaches for bibliometrics.




=== Organizing committee ===

Iana Atanassova, Centre Tesnière - CRIT, Université de Bourgogne Franche-Comté, 
France
Marc Bertin, ELICO, Université Claude Bernard Lyon 1, France
Philipp Mayr, GESIS - Leibniz Institute for the Social Sciences, Germany



=== Programme Committee (to be confirmed) ===

Lee Giles (College of Information Sciences and Technology, Pennsylvania State 
University, USA)
Yves Gingras (CIRST, Université du Québec à Montréal, Canada)
Vincent Lariviere (EBSI, Université de Montréal, Canada)
Stefanie Haustein (EBSI, Université de Montréal, Canada)
Timothy Bowman (EBSI, Université de Montréal, Canada)
Cassidy R. Sugimoto (School of Informatics and Computing, Indiana University, 
USA)
Sylviane Cardey (Centre Tesniere - CRIT, Université de Bourgogne Franche-Comte, 
France)
Sherifa Boukacem (Elico, Université Claude Bernard Lyon 1, France)
Guillaume Cabanac (IRIT, Université de Toulouse, France)
Beatrice Milard (Université de Toulouse 2, France)
Ruslan Mitkov (University of Wolverhampton, England)
Constantin Orasan (University of Wolverhampton, England)
Tomi Kauppinen (Aalto University, Finland)
Roman Kern (Know-Center, Austria)
Angelo Di Iorio (Department of Computer Science and Engineering, University of 
Bologna, Italy)



=== Contact ===

All questions about submissions should be emailed to iana.atanassova (at) 
univ-fcomte.fr.

--
Dr. Philipp Mayr
Team Leader

GESIS - Leibniz Institute for the Social Sciences
Unter Sachsenhausen 6-8,  D-50667 Köln, Germany
Tel: + 49 (0) 221 / 476 94 -533
Email: philipp.mayr@xxxxxxxxx<mailto:philipp.mayr@xxxxxxxxx>
Web: http://www.gesis.org<http://www.gesis.org/>