[AISWorld] Graph Databases, IT Professional, Special Issue, -- CFP, Submissions Due 1 April 2017

[San Murugesan]

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CALL FOR PAPERS 


IEEE Computer Society


IT PROFESSIONAL magazine


http://www.computer.org/itpro


Graph Databases


Submission deadline: 1 April 2017
Publication: November/December 2017

The management and analysis of huge volumes of unstructured data, connected
through pervasive and diverse cross-links, increasingly permeates most
applications, calling for new perspectives and approaches. The traditional,
widely used relational database management system (RDBMS), which is most
successful in process-stable and transaction-rich environments, faces
limitations in dealing with fuzzy data and agile processes. Nonrelational or
Not Only SQL (NoSQL) databases, one of the most significant developments to
affect the industry since RDBMSs, accommodate mountains of unstructured
data, offer greater flexibility in design and implementation, and support
less stable processes.

Graph databases, a specialized NoSQL database, bring a novel dimension to
traditional data management and are a timely addition to an organization's
data arsenal. Dealing with defined nodes and their multiple relationships
(labeled edges), the graph database is far more conducive to our ever-more
interconnected world and meets the needs of the growing network science
field. Equipped with new capabilities, graph databases are attracting
considerable interest among researchers and industry, and open up new
opportunities.

This issue of IT Professional will explore several aspects of emerging graph
databases and outline their applications and ongoing developments. We
solicit articles on graph databases that discuss recent advances, research
insights, novel applications, practical experiences and challenges, and
future prospects. Topics of interest include, but are not limited to, the
following:

o   Evolution of graph databases

o   Graph data structures

o   Graph database models

o   Graph query-programming languages

o   Smart data integration-integration of relational, graph, and cloud
databases

o   Interoperability with other NoSQL databases

o   Visualization of complex networks through graph databases

o   Graph analytics of big data

o   Performance modeling, benchmarking, and scalability

o   Modeling strategies, especially for dealing with messy, inconsistent,
and unstructured data

o   Standards and APIs to enable effective graph database content exchange

o   Applications (business, medical, logistics, cybersecurity, fraud
detection, manufacturing, test and evaluation, human resources, network
analysis)

o   Role in the Internet of Things and real-time sensor analytics

o   Network management using a graph database

o   Case studies and practical experiences

o   Security risks and governance of graph database applications and data

o   Technical, social, and organizational challenges

o   Graph database trends and future prospects


Submissions


Feature articles should be no longer than 4,200 words with no more than 20
references (with tables and figures counting as 300 words). Illustrations
are welcome. For author guidelines, including sample articles, please see
www.computer.org/web/peer-review/magazines.

Submit your article at https://mc.manuscriptcentral.com/itpro-cs.


Questions?


For more information, please contact the guest editors:

o   George Hurlburt, STEMCorp, hurlburt at md.metrocast.net

o   Maria R. Lee, Shih Chien University, Taipei, Taiwan,
maria.lee at g2.usc.edu.tw

o   George K. Thiruvathukal, Loyola University Chicago, gkt at cs.luc.edu


 


 

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