[AISWorld] CFP: The IJCAI-16 Workshop on Scholarly Big Data: AI Perspectives, Challenges and Ideas

Madian Khabsa Madian.Khabsa at microsoft.com
Tue Apr 12 13:20:39 EDT 2016


================================ Call for Workshop Papers ==========================
IJCAI-16 Workshop:
Scholarly Big Data: AI Perspectives, Challenges and Ideas

New York City, USA
July 14 - 15, 2016
URL: http://www.cse.unt.edu/~ccaragea/ijcai2016ws.html
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IMPORTANT DATES
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Paper Submission Deadline: April 15, 2016
Author Notification: May 15, 2016
Final Manuscript due: June 6, 2016

CALL FOR PAPERS
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The workshop aims at bringing together researchers with diverse interdisciplinary backgrounds interested in mining, managing and searching scholarly big data using new AI technologies or analyzing their transferability from one domain to another. The topics of interest include, but are not limited to:

- Social media approaches to measuring the impact of research funding and publications as well as the impact of researchers in a particular field of study:
                -- Identifying influential authors, experts, and collaborators within or across disciplines.
                -- Modeling the referencing behavior across disciplines.
                -- Automatic citation recommendation.
                -- Modeling the referencing behavior across disciplines.
- Mining large digital libraries of scientific publications and linking to other databases such as funded proposals and patents:
                -- Identifying research trends and topics.
                -- Extracting relevant information from research articles, including an article's metadata and keyphrase extraction.
                -- Scaling up machine learning algorithms to large research and related datasets.
                -- Classification and clustering of scientific trends, publications, funded proposal, patents, etc.
                -- Large scale linking of various entities, e.g., articles with articles by similarity, articles with their corresponding presentation slides, articles with the corresponding funded proposals.
- Presenting novel datasets (e.g., based on Wikipedia, DBpedia etc.) can help researcher develop novel technologies for analyzing scientific communications
- Effectively indexing and searching large scale academic documents and other resources.
- Systems and case studies of academic social networks.

SUBMISSIONS
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Authors are invited to submit manuscripts electronically, by April 15, 2016.
Submissions are to be made to EasyChair at: https://easychair.org/conferences/?conf=ijcai2016ws
Each paper will be reviewed by three Program Committee members. Papers will be double-blind reviewed.

Paper format:
    - Papers must be written in English.
    - Papers must be no longer than seven pages in total: six pages for the main text of the paper (including all figures but excluding references), and one additional page for references.
    - Papers must be formatted according to the IJCAI guideline available at: http://ijcai-16.org/downloads/FormattingGuidelinesIJCAI-16.zip

PROGRAM COMMITTEE
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Xiaojun Wan, Peking University
Rada Milhalcea, University of Michigan
Min-Yen Kan, National University of Singapore
Ani Nenkova, University of Pennsylvania
Saurabh Kataria, Xerox Research
Kazi Hasan, IBM
Yang Peng, A*STAR, Singapore
Suppawong Tuarob, Mahidol University
Niket Tandon, Max-Planck-Institut für Informatik
Zhaohui Wu, Pennsylvania State University
Hamed Alhoori, Northern Illinois University
Doina Caragea, Kansas State University
Kazunari SUGIYAMA, ‎National University of Singapore
Feng Xia, Dalian University of Technology
Fang Yuan, A*STAR, Singapore


WORKSHOP ORGANIZERS
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Cornelia Caragea, University of North Texas, USA
C. Lee Giles, Pennsylvania State University, USA
Sujatha Das Gollapalli, A*STAR, Singapore
Madian Khabsa, Microsoft Research, USA
Alex D. Wade, Microsoft Research, USA





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