The BigScholar 2017 workshop aims at bringing together researchers and practitioners working on Big Scholarly Data to discuss what are emerging research issues and how to explore the Web of Scholars. Several core challenges, such as the tools and methods for analyzing and mining scholarly data will be the main center of discussions at the workshop. The goal is to contribute to the birth of a community having a shared interest around the Web of Scholars and exploring it using data mining, recommender systems, social network analysis and other appropriate technologies.
The workshop will be a full-day workshop. The format of the workshop will include 1-2 invited talks (keynotes), research and position paper presentations, and one discussion panel. The workshop will be held in April 2017 in Perth, Australia.
Academic social network analysis
Scientific measurement
Scholarly data management
Digital infrastructures for accessing scholarly data
Methods and tools for analyzing and visualizing big scholarly data
Indexing, searching, and mining scholarly data
Connecting scholars using a Web approach
Paradigms to promote scientific collaboration
Scientific trends prediction
Web tools and techniques for big scholarly data
Systems, platforms, and services exploring the Web of Scholars
Applications and use cases of big scholarly data
04月04日
2017
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