1st Workshop on Scholarly Web Mining
When : 2017-02-10
Where : Cambridge, UK
Submission Deadline : 2016-11-11
Categories : Data Mining , Internet Computing
1st Workshop on Scholarly Web Mining (SWM 2017)
February 10, 2017
Cambridge, UK
Call For Papers
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.
Topics of Interest
- 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
IMPORTANT DATES
User Name : jerish
Posted 18-08-2016 on 08:22:58 AEDT