[Asis-l] IEEE BigDataService 2016 CFP - Big Data Information Banking Track

[H. Michelle Chen]

*IEEE BigDataService 2016: Call for Papers*

March 29 - April 1, 2016
Exeter College, Oxford, UK


*Important Dates*

Full paper submission: November 15, 2015
Review notification: January 9, 2016
Final camera-ready version: January 31, 2016


Big Data computing and service is becoming a very hot research and
application subject in academic research, industry community, and
government services. Today, with the fast advance of big data science,
analytics and technology, big data researchers and application
professionals are able to access to diverse data mining and machine
learning algorithms, open-source platforms & tools, and cloud DB technology
and big data access technologies.

Unlike the other venues, this international conference is established to
address the above needs for big data computing service researchers,
domain-specific researchers, government agencies, and practitioners. The
major objective is to provide a big platform for them to exchange
innovation ideas and research results, and share application experiences
and lessons.

The three major objectives of this conference include:


   - *Big Data Innovation *of big data computing and service models,
   theories, tools, solutions and technologies.
   - *Big Data and Service Sharing* in big data banks and resources,
   portals, platforms, and open-sources, technology and tools.
   - *Big Data Application *in real world big data application service projects
   for major application domains, including energy and environment, medical
   and healthcare, library, social media and networking, and education.

In particular, please consider submitting to the "*Big Data Information
Banking*" track, which is specifically designed for the library and
information science field. This track includes the papers focusing on big
data-related research in library and information science, including
big data information
banking projects, policies, standards, business services & cost
models, data sharing,
exchange & management, data-intensive computing and services, data
classification/indexing,
retrieval, storage & search solutions for digital libraries, and supporting
infrastructures.

This conference will include a three-day program with a well-defined track
program, plus a number of invited keynote speeches from well-known speakers
from the real world.

For more information, please see the following site:
http://www.big-dataservice.net/

We look forward to your contribution and to seeing you soon in the near
future.

Regards,

IEEE BigDataService 2016 Committee


--

*Hsuanwei Michelle Chen, Ph.D.*Assistant Professor, School of Information
San Jose State University
One Washington Square, San Jose, CA 95192
http://ischool.sjsu.edu/
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