CALL FOR PAPERS
BigScholar 2014
The First WWW Workshop on Big Scholarly Data: Towards the Web of Scholars
Seoul, Korea, April 8, 2014
http://dutphonelab.org/bigscholar/
A workshop of WWW 2014 (The 23rd International World Wide Web Conference): http://www2014.kr/
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 provides bibliographic information on major computer science journals and proceedings. Additionally, DBLP indexes more than 2.3 million articles 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 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 a demand for novel ways of developing algorithms, methods and techniques to foster the analysis and interpretation of social environments such as academic collaboration networks.
The BigScholar 2014 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 half-day workshop. The format of the workshop will include one invited talk (keynote), research and position paper presentations, and one discussion panel. The workshop will be held on April 8, 2014 in Seoul, Korea, in conjunction with the 23rd International World Wide Web Conference (WWW 2014).
We will explore promising areas of research in big scholarly data, with a focus on the rapidly emerging field of the Web of Scholars. This workshop also seeks to answer noteworthy research questions such as:
- How to connect scholars on the web?
- How to facilitate collaboration among scholars?
- How to find the experts in a particular field?
Researchers are welcome to submit their papers that address these questions above and other topics below which may include, but are not limited to:
- Academic social network analysis
- Scientific recommendation
- Methods and tools for analyzing big scholarly data
- Indexing, searching, and mining scholarly data
- Connecting scholars using a Web approach
- Platforms and services for the Web of Scholars
- Web tools and techniques for big scholarly data
- Paradigms to promote scientific collaboration
- Scientific trends prediction
- Applications, use cases, and evaluations of big scholarly data
IMPORTANT DATES:
Paper Submission Deadline: Jan 14, 2014
Author Notification: Feb 4, 2014
Final Manuscript: Feb 12, 2014
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 describing completed work, work-in-progress papers with preliminary results, as well as position papers 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 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://www.easychair.org/conferences/?conf=bigscholar2014
Organizers:
Feng Xia, Dalian University of Technology, China
Irwin King, The Chinese University of Hong Kong, Hong Kong
Huan Liu, Arizona State University, USA
Contact Info:
Email: bigscholar@googlegroups.com
BigScholar 2014
The First WWW Workshop on Big Scholarly Data: Towards the Web of Scholars
Seoul, Korea, April 8, 2014
http://dutphonelab.org/bigscholar/
A workshop of WWW 2014 (The 23rd International World Wide Web Conference): http://www2014.kr/
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 provides bibliographic information on major computer science journals and proceedings. Additionally, DBLP indexes more than 2.3 million articles 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 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 a demand for novel ways of developing algorithms, methods and techniques to foster the analysis and interpretation of social environments such as academic collaboration networks.
The BigScholar 2014 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 half-day workshop. The format of the workshop will include one invited talk (keynote), research and position paper presentations, and one discussion panel. The workshop will be held on April 8, 2014 in Seoul, Korea, in conjunction with the 23rd International World Wide Web Conference (WWW 2014).
We will explore promising areas of research in big scholarly data, with a focus on the rapidly emerging field of the Web of Scholars. This workshop also seeks to answer noteworthy research questions such as:
- How to connect scholars on the web?
- How to facilitate collaboration among scholars?
- How to find the experts in a particular field?
Researchers are welcome to submit their papers that address these questions above and other topics below which may include, but are not limited to:
- Academic social network analysis
- Scientific recommendation
- Methods and tools for analyzing big scholarly data
- Indexing, searching, and mining scholarly data
- Connecting scholars using a Web approach
- Platforms and services for the Web of Scholars
- Web tools and techniques for big scholarly data
- Paradigms to promote scientific collaboration
- Scientific trends prediction
- Applications, use cases, and evaluations of big scholarly data
IMPORTANT DATES:
Paper Submission Deadline: Jan 14, 2014
Author Notification: Feb 4, 2014
Final Manuscript: Feb 12, 2014
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 describing completed work, work-in-progress papers with preliminary results, as well as position papers 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 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://www.easychair.org/conferences/?conf=bigscholar2014
Organizers:
Feng Xia, Dalian University of Technology, China
Irwin King, The Chinese University of Hong Kong, Hong Kong
Huan Liu, Arizona State University, USA
Contact Info:
Email: bigscholar@googlegroups.com
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