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BigScholar 2017 : The 4th WWW Workshop on Big Scholarly Data

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Link: http://thealphalab.org/bigscholar/
 
When Apr 3, 2017 - Apr 3, 2017
Where Perth
Submission Deadline Jan 27, 2017
Notification Due Jan 31, 2017
Final Version Due Feb 14, 2017
Categories    data mining   information retrieval   big data   information systems
 

Call For Papers

* Submissions of Work-in-Progress/Short Papers (up to 2 pages) are due on 27 January.
* The workshop will be held on Monday 3 April 2017.

[Please accept our apologies if you received multiple copies of this call]

CALL FOR PAPERS

BigScholar 2017
The 4th WWW Workshop on Big Scholarly Data: Towards the Web of Scholars
http://thealphalab.org/bigscholar/

A workshop of WWW 2017 (The 26th International World Wide Web Conference)
Perth, Australia, April 3-7, 2017

Researchers worldwide are currently producing more and more scholarly data of various types such as papers, books, patents, etc. Such data are big data by nature. For example, the DBLP Computer Science Bibliography and the Microsoft Academic Graph/API (research.microsoft.com/mag) provide bibliographic information on major computer science journals and proceedings. DBLP and MAG index more than 3 and 100 million articles, respectively, with records containing title, pages, years and authors' information, etc. Concurrently, scholars are associated with various academic activities such as conferences, workshops, congresses, peer review and so on. Such scenarios have motivated us to also explore the Web of Scholars in the context of big scholarly data on a global scale. It is imperative and vital for researchers to drive their knowledge towards the innovative generation of values from Big Scholarly Data. The emerging worldwide Web of Scholars demands a re-evaluation of existing techniques, such as data mining, recommender systems and social network analysis. Furthermore, there is the demand for novel ways of developing algorithms, methods and techniques to foster the analysis and interpretation of social environments such as academic collaboration networks.

Following the success of the previous three editions, 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 on 3 April 2017 in Perth, Australia, in conjunction with the 26th International World Wide Web Conference (WWW 2017).

In this workshop, we will explore the most promising areas of research in big scholarly data, with focus on major foci of the rapidly emerging field of the Web of Scholars. This workshop also seeks to answer noteworthy research questions such as:
- How to model the Web of scholars?
- How to connect scholars on the Web?
- How to measure impact of publications, researchers, groups, or institutions?
- How to visualize Big Scholarly Data for insights and analytics?
- How to utilize the Web of Scholars to improve the way research is being done?

Researchers are welcome to submit highly interesting and quality papers that address these questions above and other topics below which may include, but are not limited to:
- 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


IMPORTANT DATES:
Full Paper Submission Deadline: January 20, 2017
Short Paper submissions due: January 27, 2017
Author Notification: January 31, 2017
Final Manuscript: February 14, 2017

SUBMISSION INSTRUCTIONS:
Authors are invited to submit original papers that must not have been submitted to or published in any other workshop, conference, or journal. The workshop will accept full papers (up to 6 pages) describing completed work, work-in-progress/short papers (up to 2 pages) with preliminary results, as well as position papers (up to 6 pages) reporting inspiring and intriguing new ideas.

All submitted papers must:
* be written in English;
* contain author names, affiliations, and email addresses;
* be formatted according to the ACM SIG Proceedings template(http://www.acm.org/sigs/publications/proceedings-templates) with a font size no smaller than 9pt;
* be in PDF (make sure that the PDF can be viewed on any platform), and formatted for US Letter size;
* occupy no more than six pages, including the abstract, references, and appendices.

It is the authors' responsibility to ensure that their submissions adhere strictly to the required format.
Submissions that do not comply with the above guidelines may be rejected without review.

All submissions will be peer-reviewed by members of the Program Committee and be evaluated for originality, quality and appropriateness to the workshop. At least one author of each accepted papers must present their work at the workshop. All accepted and presented papers will be published in the Companion Proceedings of the WWW 2017 conference, through the ACM Digital Library. Extended versions of selected papers will be considered for publication in special issues of SCI-index international journals.


Please submit your paper here:
https://easychair.org/conferences/?conf=bigscholar2017


Organizers:
Feng Xia, Dalian University of Technology
Huan Liu, Arizona State University
Irwin King, The Chinese University of Hong Kong
Kuansan Wang, Microsoft Research


Contact Info:
Email: bigscholar@googlegroups.com

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