Researchers increasingly report their results through online publications, from research papers, data and software to experiments, observations and ideas. Immense amount of research-related data is available on the web on interlinked pages, in repositories, databases, social networking sites, etc. Consequently, researchers rely on online sources, often through search engines, to perform literature searches for their research — to search for papers, topics, people etc. to be able to produce new research. However, these publications can be used not only for traditional literature searches, but also as a source for discovering popular and emerging research topics, key publications and people or evaluating research excellence. To aid research, it is important to leverage the potential of data mining technologies to improve the process of how research is being done.
This workshop aims to bring together people from different backgrounds who are interested in analysing and mining scholarly data available via web and social media sources using various approaches such as query log mining, graph analysis, text mining, etc., and/or who develop systems that enable such analysis and mining.
Crawling, harvesting and detecting scholarly outputs on the web, such as publications, datasets, research blogs, research forums, research communication on social networks, etc.
Large scale information extraction of scholarly research outputs to identify research methods, techniques, tools, citation contexts, research outcomes, such as new relationships, arguments, such as support and contradiction, etc.
Knowledge representation and acquisition from research papers and scientific data
Detecting research fronts and emerging topics, cross-fertilization between disciplines, current key publications and people
Research impact and quality (for example evaluation of research publications and other research outputs, evaluation of individual researchers, institutions, countries, etc.), alternative metrics (Webometrics, Altmetrics, Semantometrics)
Collaboration studies and social network analysis of research communities
Connecting and interlinking publications, data, tweets, blogs, etc. or their parts
Data sources of research related data: coverage, accuracy and reliability
Applications and case studies of mining from scientific databases and publications
Authors are invited to submit full papers with unpublished, original work of not more than 8 pages. All papers should be formatted using the ACM style (see http://www.acm.org/sigs/publications/proceedings-templates). Papers should be submitted using EasyChair at: https://easychair.org/conferences/?conf=swm2017.
Papers must be written in English and be formatted according to the ACM formatting guidelines linked below and submitted electronically as a PDF file.
All submissions will be peer-reviewed for correctness, originality, technical strength, significance, quality of presentation, and relevance to the workshop topics of interest, by at least 3 reviewers. Submitted papers may not have appeared in or be under consideration for another workshop, conference or a journal, nor may they be under review or submitted to another forum during the SWM review process.
November 11, 2016 November 18, 2016 – Submission deadline
December 5, 2016 December 16, 2016 – Notification of Acceptance
January 27, 2017 – Camera-ready submission due
February 10, 2017 – Workshop