W3C home > Mailing lists > Public > semantic-web@w3.org > July 2014

Call for Papers: IEEE Big Data 2014 Workshop on Enterprise Big Data Semantics and Analytics Modeling (EBDSAM 2014),

From: Vinh Nguyen <vinh@knoesis.org>
Date: Wed, 2 Jul 2014 09:31:30 -0400
Message-ID: <CAJcwyEBSthYjeUnRR5VQ39SiOsAC2h+aV603NVeHXpYxC9HSYQ@mail.gmail.com>
To: Vinh Nguyen <vinh@knoesis.org>
Workshop on Enterprise Big Data Semantics and Analytics Modeling (EBDSAM
2014),
Co-located with the IEEE BigData 2014 conference in Oct 27-30, Washington
DC, USA.
Webpage:
http://wiki.knoesis.org/index.php/IEEE_BigData_2014_Workshop_on_Enterprise_Big_Data_Semantics_and_Analytics_Modeling

========== CALL FOR PAPERS ==============

Objectives

While big data has been a topic of research and industry activity, much of
it has been focused on unstructured data such as web logs, web crawl data,
and social media data. One area which has received less attention but
offers significant opportunities is that of “enterprise big data”. As
enterprises drive towards leveraging analytics to create new value, they
are faced with one of the most daunting challenges post the enterprise data
warehousing era, “How can we link data from 100’s of business processes,
tens of businesses, and combine relevant enterprise data with external data
to enable novel analytical insights?” Consequently, Enterprise Big Data
Semantics, Analytics and Modeling (EBDSAM) is an emerging area of research.
It involves developing a new paradigm and technologies for handling of
enterprise data which also face volume, variety, velocity, and veracity to
create value through contextual process and analytics to create novel
insights and enable improved decisions.
This workshop will bring together academic researchers, technology company
researchers, and industry practitioners from multiple industries, including
Retail, Banking, Travel and Transportation, Government, etc. The goal of
the workshop will be to share key challenges in EBDSAM, novel approaches to
solutions, key business challenges that can be addressed by EBDSAM.
Participants are encouraged to start with specific business scenarios and
demonstrate research prototypes they have created in the EBDSAM area.

Topics of Interest

Workshop papers can fall into any of the following categories involving
exploiting of enterprise bid data and/or enterprise applications:
Solution / applications and industry scenarios for EBDSAM
Semantic Domain Models and Ontologies
Dynamic and configurable data linking and data extractors mechanisms
Analytics driven auto generated data models / linkers
Automatic linking discovery technologies
Architecture for EBDSAM leveraging, Hadoop, Cassandra, MongoDB, etc…
Cloud based Scaling of EBDSAM systems.
Additional related categories not covered above

Submission Guidelines

Your paper should be formatted to IEEE Computer Society Proceedings
Manuscript Formatting Guidelines (
http://www.ieee.org/conferences_events/conferences/publishing/templates.html
).
Although we accept submissions in the form of PDF, PS, and DOC/RTF files,
you are strongly encouraged to generate a PDF version for your paper
submission if your paper was prepared in Word. Your paper should not exceed
8 pages (single column) or 4 pages (double column).
All the submissions must be made through Online paper submission at
https://wi-lab.com/cyberchair/2014/bigdata14/scripts/submit.php?subarea=S5&undisplay_detail=1&wh=/cyberchair/2014/bigdata14/scripts/ws_submit.php


========== IMPORTANT DATES ==========

Aug 10, 2014: Due date for full workshop papers submission
Sept 20, 2014: Notification of paper acceptance to authors
Oct 5, 2014: Camera-ready of accepted papers
October 27-30 2014: Workshops

Workshop Organizers

Arun Hampapur, IBM Watson Research
Amit Sheth, Kno.e.sis, Wright State University

-- 
Vinh Nguyen <http://knoesis.wright.edu/researchers/vinh>,
Researcher at Kno.e.sis <http://knoesis.org> center
PhD candidate at Wright State University
Received on Wednesday, 2 July 2014 13:33:04 UTC

This archive was generated by hypermail 2.4.0 : Friday, 17 January 2020 19:49:17 UTC