CALL FOR PAPERS

Special Issue on Big Data, Service and Intelligence- Methods, Techniques
and Applications
in
International Journal of Systems and Service-Oriented Engineering

http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=54627

The International Journal of Systems and Service-Oriented Engineering
(IJSSOE) (ISSN 1947-3052; eISSN 1947-3060) is an official publication of
the Information Resources Management Association (www.igi-global.com/ijssoe).
IJSSOE is indexed or listed in the following: ACM Digital Library; Bacon’s
Media Directory; Cabell’s Directories; DBLP; Google Scholar; INSPEC;
JournalTOCs; MediaFinder; The Standard Periodical Directory; Ulrich’s
Periodicals Directory.

1 Rationale
Big data have become a strategic resource for organizations, industries,
enterprises, businesses, and individuals as well as national security. Big
Data are also a key enabler of exploring business insights and economics of
services. Big Data are generated from various instruments, sensors,
Internet transactions, emails, videos, click streams, social networking
services and other sources, characterized with at least 10 Bigs: big
volume, big velocity, big variety, big value, big veracity, big market, big
service, big intelligence, big opportunity and big challenge to manage
using traditional (database) and emerging tools and technologies. These 10
Bigs of big data have been challenging many existing sciences,
technologies, methods and techniques in many fields, and then big data has
become a hot research area spanning the fields of computer science,
information technology and information systems to that of engineering,
applied mathematics, optimization, healthcare, business, government, and
telecommunications. Big Data applications are emerging in many disciplines,
fields and industries globally. Nations, organizations, businesses and
individuals have been enjoying the benefits of big data, and are pursuing
more benefits from big data and their technologies and applications.
Services are playing a pivotal role both in nations, organizations,
businesses and individuals, service computing, social computing and cloud
computing. This is also true in the traditional FREG (foods, resources,
energy and goods) services, because almost all traditional services are
fully or partially re-placed by web services. Web services and service
computing are changing our work, life and thinking with the healthy
development service-centred society. Big data driven services are an
emerging frontier for innovations, competences and improving business
performance of governments, organisations and enterprises.
Intelligence is not only a lasting topic for computer science under the
flagship of artificial intelligence (AI) and intelligence computing, but
also an exciting topic for industries, organizations and businesses under
the flagship of business intelligence (BI). AI has facilitated the
development of intelligent services, intelligent manufacturing, and
intelligent systems. BI has promoted the improvement of competence of
business performance, and supported management decision making of
organisations and produced the billionaire level enterprises such as Google
and Facebook.
Based on the above preliminary analysis, big data, big services, big
intelligence and their integration will be the next frontier for
innovation, competence and creation of big values for nations,
organisations, enterprises and individuals.  They will generate new
opportunities and challenges for the research and development of
organizations, businesses, management, decision science, mathematics and
ICT. Big data driven services and big data driven intelligent services with
applications are changing the world and society, how people and
organizations are doing things and making decisions in the future. They are
also changing business models, revenue models, management and decision
making processes in companies and organizations, and affecting usage of
resources including big data in creating products and services.
However, many fundamental issues in developing big data driven services and
intelligence remain open in the emerging age of big data, big service and
big intelligence. For example, what is the fundamental theory of big
services? What is the interrelationship among big data, big service and big
intelligence? What is a big intelligent service? This Special Issue in
IJSSOE will address these issues by exploring the cutting-edge theory,
methods, techniques and applications of big data, service and intelligence.
This Special Issue in IJSSOE also provides applications of the proposed
theory, methods, techniques and applications to successful services and web
services in the real world. The proposed approaches in this special issue
will facilitate research and development of web services, business,
management, intelligence computing, service computing, cloud computing and
social computing.
2 Objective and Topics

The objective of this Special Issue in International Journal of Systems and
Service-Oriented Engineering  is to present the state of the art research
and practical experiences on Big Data, Service and Intelligence from an
interdisciplinary viewpoint. The disciplines include computing, business,
management, applied mathematics, optimization, ICT, intelligent systems,
decision science and economics and beyond.

Topics of interest include, but are not limited to, the following:

2.1 Fundamentals of Big Data, Service and Intelligence

Fundamental concepts, models, architectures, frameworks or theories for
planning, designing, building, operating or evaluating, managing big data
driven services and big data driven smart services (big services, for
short) or big data driven intelligent services and big data service
intelligence (big intelligence, for short) are related to
* Big data computing
* Big data analytics as a service
* Big data science and foundations
* New computational models for big services
* Mathematical theory of big services
* ICT fundamentals for big  services
* Visualization of data, information, knowledge and wisdom
* Decision science for big  services
* Statistical modelling for big services
* Optimization techniques for big services
* Research methodology for big services
* Data mining for big services
* Business models  for big services
* Statistical thinking and computing thinking for big data, service and
intelligence
* Fundamentals  of big data, intelligence, and wisdom
* Intelligence computing for big services
where intelligence computing includes agent based technologies,
computational intelligence, soft computing, data warehouse, data mining and
web mining, genetic algorithms and evolutionary computing, knowledge
technology, knowledge systems.

2.2 Big Data Driven Approach to Big Services
* Fuzzy logic approach to big services
* Machine learning for intelligent big services
* Intelligent agents for big services
* AI approach to big services
* Optimization for intelligent big services
* Big data infrastructure as a big service
* Cloud services as a big service (CSaaS)
* Mobile services as a big service (MSaaS)
* Big data analytics as a service (BaaS)
* Social networking as a big service
* Business strategy service
* Decision analysis service
* Entrepreneurship and innovation service
* Information systems service
* Marketing service
* Strategic management service
* Services management service
* Health service management service
* Organisational decision Making
* Managerial decision making
* Service economy and policy
* Visualization techniques for big data driven services
* Service computing
where service computing includes service science, service technology,
service systems, service engineering, and service Management.

2.3 Big Data Driven Approach to Big Intelligence
Big intelligence includes
* Business intelligence
* Organisational intelligence
* Marketing intelligence
* Mobile intelligence
* Cloud intelligence
* Social networking intelligence
* Networking intelligence
* Web intelligence
* Enterprise Intelligence
* Analytics intelligence

2.4 Applications of Big Data, Service and Intelligence
* Big data, service and intelligence for developing Industry 4.0
* Big data analytics based services innovation
* Big data, service in business ecosystems
* Big data analytics and data markets
* Big data, service, and intelligence for e-commerce
* Big data, service, and intelligence in business decision making
* Big data, service, and intelligence in healthcare
* Big data, service, and intelligence in banking industry
* Big data, service, and intelligence in social networks
* Big data, service, and intelligence Search and Mining
* Big data, service, and intelligence for management
* Big data, service, and intelligence for risk management
Cases and applications for using theories, technologies and approaches to
big data, service and intelligence in the main service domains such as:
social networking services, cloud services, financial services, legal
services, healthcare services, logistics services, educational services,
and military services taking into account demand from government,
organization, enterprise, community, individual, customer and citizen are
encouraged.

2.5 Emerging Technologies and Methods for Big Data, Service and Intelligence
* The Internet of things
* The Internet of services
* Service 4.0, Intelligence 4.0 in Industry 4.0
* Intelligent service computing
* Data intelligence computing

Notes for Intending Authors

We are seeking original, genuine, innovative, scientifically rigorous
research papers on Methods, Techniques and Applications of Big Data,
Service and Intelligence. Empirical research, case studies or theory based
qualitative and quantitative studies on Big Data, Service and Intelligence
are also welcome.

Submitted papers should not have been previously published nor be currently
under consideration for publication elsewhere.

Submitted manuscripts should be structured as technical papers and may not
exceed 8000 words. All submissions will be blindly reviewed by at least two
reviewers based on correctness, originality, technical strength,
significance, quality of the manuscript. Submissions should be directed by
email to the editors of this special issue at zhaohao.sun@gmail.com and
dickson.shiou@gmail.com. The tentative title and abstract consisting of
less than 150 words should be submitted to the editors at one’s earliest
convenience for constructive suggestion.

Important dates

* Full paper submission: September 30, 2017
* Notification of acceptance: October 30, 2017
* Revised submission: November 30, 2017
* Final acceptance notification: December 30, 2017
* Publication: March, 2018

Guest Editors

Prof. Dr Zhaohao Sun, Ph.D.
PNG University of Technology, Lae, PNG
&
Federation University Australia, Ballarat, AUSTRALIA
Email:  zhaohao.sun@gmail.com; zsun@dbs.unitech.ac.pg

Dr Dickson Chiu, PhD
University of Hong Kong, Hong Kong

e-mail: dickson.shiou@gmail.com; dicksonchiu@ieee.org
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Betreff:	[AISWorld] CFP: Special Issue on Big Data, Service and Intelligence in IJSSOE
Datum:	Sat, 1 Jul 2017 10:32:43 +1000
Von:	Zhaohao Sun <zhaohao.sun@gmail.com>
An:	aisworld@lists.aisnet.org, IRMA ListServ <irma-l@irma-international.org>, BISC-Group <bisc-group@eecs.berkeley.edu>