IEEE ICBK 2018: 9th IEEE International Conference on Big Knowledge 
( )
November 17-18, 2018, Singapore

Call for Papers

Big Knowledge deals with fragmented knowledge from heterogeneous,
autonomous information sources for complex and evolving relationships,
in addition to domain expertise. The IEEE International Conference on
Big Knowledge (ICBK) provides a premier international forum for
presentation of original research results in Big Knowledge
opportunities and challenges, as well as exchange and dissemination of
innovative, practical development experiences. The conference covers
all aspects of Big Knowledge, including algorithms, software, systems,
and applications. ICBK draws researchers and application developers
from a wide range of Big Knowledge related areas such as knowledge
engineering, big data analytics, statistics, machine learning, pattern
recognition, data mining, knowledge visualization, high performance
computing, and World Wide Web. By promoting novel, high quality
research findings, and innovative solutions to challenging Big
Knowledge problems, the conference seeks to continuously advance the
state-of-the-art in Big Knowledge.

Accepted papers will be published in the conference proceedings by the
IEEE Computer Society. Awards will be conferred at the conference on
the authors of the best paper and the best student paper. A selected
number of best papers will be invited for possible inclusion, in an
expanded and revised form, in the Knowledge and Information Systems


Conference Chairs:
 Xindong Wu, University of Louisiana at Lafayette, USA
 Ong Yew Soon, Nanyang Technological University, Singapore
Program Committee Chairs:
 Charu Aggarwal, IBM T. J. Watson Research, USA
 Huanhuan Chen, University of Science and Technology of China, China
Finance Chair:
 Lei Li Hefei University of Technology, China
Web Chair: 
 Jia Wu Macquarie Univeristy, Australia

Topics of Interest

Topics covering academic research and industrial applications into Big
Knowledge will include, but not limited to:

 * Foundations, algorithms, models, and theory of big knowledge
 * Knowledge engineering with big data
 * Machine learning, data mining, and statistical methods for big
   knowledge science and engineering
 * Acquisition, representation and evolution of fragmented knowledge
 * Fragmented knowledge modeling and online learning
 * Knowledge graphs and knowledge maps
 * Topology and fusion on fragmented knowledge
 * Visualization, personalization, and recommendation of big knowledge
   navigation and interaction
 * Big knowledge systems and platforms, and their efficiency,
   scalability, and privacy
 * Applications and services of big knowledge in all domains including
   web, medicine, education, healthcare, and business
   - Big Health Care Decision Making
   - Crowdsourcing
   - Data-driven Granular Cognitive Computing
   - Deep Learning
   - Edge Computing in Medical Analytics
   - Graph Mining
   - Intelligent Computing for Big Knowledge
   - Network and Knowledge Graph Representation Learning
   - Rule and Relationship Discovery
   - Safe Data Analytics

Important Dates

 * Paper submission: June 20, 2018
 * Notification of acceptance/rejection: August 20, 2018
 * Camera-Ready Papers: September 18, 2018
 * Conference: November 14-16, 2018

All deadlines are 11:59PM, UTC-12; thus submissions are allowed as
long as the deadline date is not past anywhere in the world.

Submission Guidelines

Paper submissions should be no longer than 8 pages, in the IEEE
2-column format, including the bibliography and any possible
appendices. Submissions longer than 8 pages will be rejected without
review. All submissions will be reviewed by the Program Committee on
the basis of technical quality, relevance to Big Knowledge,
originality, significance, and clarity.

All manuscripts are submitted as full papers and are reviewed based on
their scientific merit. The reviewing process is confidential. There
is no separate abstract submission step. There are no separate
industrial, application, short paper or poster tracks. Manuscripts
must be submitted electronically through the online submission system
( ).
We do not accept email submissions.

LaTeX and Word Templates

To help ensure correct formatting, please use the style files for
U.S. Letter as template for your submission. These include LaTeX and

Further Information: