posted by organizer: drfxia || 4733 views || tracked by 7 users: [display]

BigScholar 2015 : The Second WWW Workshop on Big Scholarly Data @ WWW 2015


When May 19, 2015 - May 19, 2015
Where Florence, Italy
Submission Deadline Jan 31, 2015
Notification Due Feb 22, 2015
Final Version Due Mar 8, 2015
Categories    web   big data   social networks   data mining

Call For Papers


BigScholar 2015
The Second WWW Workshop on Big Scholarly Data: Towards the Web of Scholars
Florence, Italy, May 19, 2015

A workshop of WWW 2015 (The 24th International World Wide Web Conference)

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 2015 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 in the afternoon on May 19, 2015 in Florence, Italy, in conjunction with the 24th International World Wide Web Conference (WWW 2015).

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 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 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

Paper Submission Deadline: Jan 31, 2015 (extended)
Author Notification: Feb 22, 2015
Final Manuscript: Mar 8, 2015

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( 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 2015 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:

Feng Xia, Dalian University of Technology, China
Huan Liu, Arizona State University, USA
Irwin King, The Chinese University of Hong Kong, Hong Kong

Contact Info:

Related Resources

WWW 2020   The Web Conference
ICDM 2021   21th Industrial Conference on Data Mining
WWW 2021   International World Wide Web Conferences
PAKDD 2021   Pacific-Asia Conference on Knowledge Discovery and Data Mining
CCBD--Ei Compendex & Scopus 2021   2021 The 8th International Conference on Cloud Computing and Big Data (CCBD 2021)--Ei Compendex & Scopus
ITAS--EI Compendex, Scopus 2021   2021 Information Technology & Applications Symposium (ITAS 2021)--EI Compendex, Scopus
MLDM 2021   17th International Conference on Machine Learning and Data Mining
ML_BDA 2021   Special Issue on Machine Learning Technologies for Big Data Analytics
CISDM 2020   2020 2nd Euro-Asia Conference on Information System and Data Mining (CISDM 2020)
ICWI 2020   19th International Conference WWW/Internet 2020