International Workshop on Mining Scientific Publications
12 September 2014 London, United Kingdom
The event is part of the ACM/IEEE Joint Conference on Digital Libraries (JCDL 2014) at the Guildhall School of Music in London.
The vast amount of content hosted by digital libraries nowadays poses new challenges to the research community. It's no longer enough to make publications available for human readers; enormous value can be derived from opening these catalogues of data to machine reading.
Data mining tools can be used to read scholarly articles, transforming them from lists of words and images into real-world information such as facts, opinions and hypothesis. This can be a great time-saver for researchers, helping them to find important information in huge corpora quickly and easily.
The 3rd International Workshop on Mining Scientific Publications, which is collocated with the ACM/IEEE Joint Conference on Digital Libraries (JCDL 2014) September 8 to 12 in London, will explore these possibilities by bringing together people from different backgrounds who are interested in analysing and mining databases of scientific publications. In addition, the conference is open to all those involved in developing systems to enable such analysis, designing new technologies to improve the way research is being done, and supporting the openness and free availability of publications and research data.
Mendeley is co-organizing the event along with CORE, the Open University, Athena Research and Innovation Center, and the European Library/ Europeana .
The audience for the workshop will be a mixture of cross-disciplinary researchers, practitioners from industry and government, open access enthusiasts, and digital library developers.
Together, we will discuss different approaches to addressing the challenges of mining scientific publications, and we're now inviting people to submit their papers online, for inclusion in the programme. Both long papers (up to eight pages in the ACM style) and short papers (not exceeding four pages) are welcome, as are practical demonstrations and presentation of systems and methods (demonstration submissions should consist of a two-page description of the system, method or tool).The workshop will be structured around three main themes:
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.
Semantic enrichment of scientific publications by means of text-mining, crowdsourcing or other methods.
Analysis of large databases of scientific publications to identify research trends, high impact, cross-fertilisation between disciplines, research excellence etc.