Call for Papers

The workshop, which would be the first of its kind, if accepted, aims at bringing together researchers with diverse interdisciplinary backgrounds interested in mining, managing and searching scholarly big data using the social web lenses to discover new patterns and introduce new metrics. The topics of interest include, but are not limited to:

• Social media approaches to measuring the impact of research funding and publications as well as the impact of researchers in a particular field of study:
• Identifying influential authors, experts, and collaborators within or across disciplines.
• Early detection of influential papers.
• Modeling the referencing behavior across disciplines.
• Searching and mining the Web, large digital libraries, repositories of scholarly publications, and patents and linking to other data sources such as papers, funded proposals and patents:
• Identifying research trends and topics.
• Extracting relevant information from research articles.
• Scaling up machine learning algorithms to large research and related datasets.
• Classification and clustering of scientific trends, publications, funded proposal, patents, etc.
• Large scale linking of various entities, e.g., articles with articles by similarity, articles with their corresponding presentation slides, articles with the corresponding funded proposals.
• Presenting novel datasets (e.g., based on Wikipedia, DBpedia etc.) can help researcher develop novel technologies for analyzing scientific communications.
• Systems and case studies of academic social networks.
• Effectively indexing and searching large scale academic documents and other resources.