The KDD 2018 Workshop on Big Scholarly Data(BigScholar 2018)

August 20, 2018, London, United Kingdom

Scope & Topics

The number of scholarly documents produced by academics, researchers, and practitioners worldwide is increasing at an unprecedented speed. The term big scholarly data is coined for this rapidly growing scholarly source of information. Many large collections of scholarly data including digital libraries, search engines, repositories, knowledge bases, Wikipedia, and the Web have already covered millions of journal articles, conference proceedings, degree theses, books, patents, technical reports, tutorials, course materials, etc. For instance, the Microsoft Academic Graph contains scientific publication records, citation relationships between those publications, as well as authors, institutions, journals, conferences, and fields of study. The DBLP bibliography now lists more than 5000 conference and workshop series, as well as more than 1500 journals in computer science, which involve more than 4 million publications by more than 2 million authors. 

Topics of Interest :

• New approaches to search, crawling and integration of scholarly data from various data sources
  
• Methods for storing, indexing, and query processing for big scholarly data
  
• Practices for scholarly data management and sharing
  
• Big scholarly data analysis, mining, and visualization
  
• Network science for scholarly data analytics
  
• Graph and text mining in big scholarly data
  
• Measuring the impact of publications, funding, courses, individuals, teams, etc.
  
• Computational behavioural sciences in research and education
  
• Academic social network analysis and mining
  
• Scholarly recommendation
  
• Understanding and predicting success in research and education
  
• Design of next generation platforms and systems for research and education
  
• Novel services and applications for research and education

Important Dates

Submission Deadline	:	May 15, 2018
Authors Notification	:	June 08, 2018

User Name : mark
Posted 09-04-2018 on 19:31:07 AEDT

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