1. INTRODUCTION

Digital libraries that store scientific publications are becoming increasingly important in research. They are used not only for traditional tasks such as finding and storing research outputs, but also as sources for mining this information, discovering new research trends and evaluating research excellence. The rapid growth in the number of scientific publications being deposited in digital libraries makes it no longer sufficient to provide access to content to human readers only. It is equally important to allow machines analyse this information and by doing so facilitate the processes by which research is being accomplished. Recent developments in natural language processing, information retrieval, the semantic web and other disciplines make it possible to transform the way we work with scientific publications. However, in order to make this happen, researchers first need to be able to easily access and use large databases of scientific publications and research data, to carry out experiments.

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, infrastructures or datasets that enable such analysis and mining,
(c) design novel technologies that improve the way research is being accomplished or
(d) support the openness and free availability of publications and research data.

2. TOPICS

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

1) Infrastructures, systems, open datasets or 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:

- Systems, services, datasets or APIs for accessing scientific publications and/or research data, and infrastructures and systems that promote Open Access to publications (open repositories).
The existence of datasets, services, systems and APIs (in particular those that are open) providing access to large volumes of scientific
publications and their metadata 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 semantic representation and annotation of publications, especially those using Linked Open Data.
- Semantically enriching/annotating publications by crowdsourcing or other means.

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.
- New methods for measuring impact of research groups.
- Methods for identifying research trends and cross-fertilization between research disciplines.
- Applications of mining from scientific databases.

3. EXPECTED AUDIENCE

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

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 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.

5. IMPORTANT DATES

May 26, 2013 - Submission deadline
June 23, 2013 - Notification of acceptance
July 7, 2013 - Camera-ready
July 26, 2013 - Workshop

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

6. ORGANIZING COMMITTEE

Petr Knoth, Knowledge Media institute, The Open University, UK
Zdenek Zdrahal, Knowledge Media institute, The Open University, UK
Markus Muhr, The European Library , The Netherlands
Nuno Freire, The European Library , The Netherlands

7. PROGRAMME COMMITTEE

Robert Sanderson, Los Alamos National Laboratory, United States
Paolo Manghi, ISTI-CNR (DRIVER, OpenAIRE), Italy
Jan Hajic, Charles University in Prague, Czech Republic
Antoine Isaac, Europeana, The Netherlands
Loukas Anastasiou, The Open University, United Kingdom
Kris Jack, Mendeley Ltd., United Kingdom
Xiaolin Shi, Microsoft, United States
José Borbinha, Instituto Superior Técnico, Portugal
Johan Bollen, Indiana University, United States
Pável Calado, Instituto Superior Técnico, Portugal
Roman Kern, Know Center Graz, Austria
Bruno Martins, Instituto Superior Técnico, Portugal
Andreas Juffinger, CSC, Austria
Iryna Gurevych, Darmstadt University of Technology, Germany
Shane Bergsma, John Hopkins University, United States
Tanja Urbancic, Jozef Stefan Institute, Slovenia
Ziqi Zhang, University of Sheffield, United Kingdom

8. KEYNOTE SPEAKERS

The workshop will include keynote presentations of Johan Bollen, Indiana University and Kris Jack, Mendeley, Ltd.

9. PROCEEDINGS

Successful submissions will be considered for inclusion in the D-Lib Magazine (http://www.dlib.org/). The last year proceedings are available at http://www.dlib.org/dlib/july12/07contents.html .

More details available on the workshop website: http://core-project.kmi.open.ac.uk/jcdl2013/