Call for Participation: Workshop on Mining Scientific Papers: Computational Linguistics and Bibliometrics @ISSI2015

Mayr-Schlegel, Philipp Philipp.Mayr-Schlegel at GESIS.ORG
Wed May 27 08:11:04 EDT 2015

== Call for Participation==
You are invited to participate in the upcoming workshop on Mining Scientific Papers: Computational Linguistics and Bibliometrics, to be held as part of thed 15th International Society of Scientometrics and Informetrics Conference (ISSI-2015,

All accepted papers are listed on the workshop page:

=== Important Dates ===
- Workshop: 29 June 2015, Istanbul, Turkey

=== 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?

=== 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

Workshop proceedings will be deposited online in the CEUR workshop proceedings publication service (ISSN 1613-0073) - This way the proceedings will be permanently available and citable (digital persistent identifiers and long term preservation).

=== Organizers ===
Iana Atanassova, Centre Tesnière, Université de Franche-Comté, France
Marc Bertin, Department of Sociology and Anthropology, Concordia University, Canada
Philipp Mayr, GESIS - Leibniz Institute for the Social Sciences, Germany

=== Programm Committee===
Lee Giles (College of Information Sciences and Technology, Pennsylvania State University, USA)
Yves Gingras (CIRST, Université du Québec à Montréal, Canada)
Vincent Lariviere (EBSI, Universite de Montreal, Canada)
Stefanie Haustein (EBSI, Universite de Montreal, Canada)
Timothy Bowman (EBSI, Universite de Montreal, Canada)
Izabella Thomas (Centre Tesniere, Universite de Franche-Comte, France)
Sylviane Cardey (Centre Tesniere, Université de Franche-Comte, France)
Beatrice Milard (Université de Toulouse 2, France)
Ruslan Mitkov (University of Wolverhampton, England)
Hitoshi Isahara (Toyohashi University of Technology, Japan)
Tomi Kauppinen (Aalto University, Finland)
Roman Kern (Know-Center, Austria)
Angelo Di Iorio (Department of Computer Science and Engineering, University of Bologna, Italy)

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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 at<mailto:philipp.mayr at>

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