-------- Forwarded Message -------- Subject: [AISWorld] CFP: JDM Special Issues on “Artificial Intelligence and Machine Learning for Service Oriented Architecture” Date: Tue, 25 Sep 2018 23:56:02 +0000 From: Patrick Hung Patrick.Hung@uoit.ca To: Patrick Hung Patrick.Hung@uoit.ca
????Apologies for cross-postings. Please send it to interested colleagues and students. Many Thanks!
Call For Papers
Special Issues on “Artificial Intelligence and Machine Learning for Service Oriented Architecture” ================================================================================================== Journal of Database Management (JDM)
URL: https://www.igi-global.com/calls-for-papers-special/journal-database-managem...
Intelligence in computing is essential to achieve service excellence for the ever-complicating requirements in the rapidly evolving global environment, as well as to discover useful patterns among the vast amount of data. This involves knowledge from various disciplines such as computer science, industrial and systems engineering, management sciences, operation research, marketing, contracts and negotiations; as well as culture transformation and integration methods based on beliefs, assumptions, principles, and values among organizations and humans.
As such, artificial intelligence and machine learning technologies have been applied to service-oriented architecture, with the vast among of data made available under this new and developing arena. This call is aimed at putting together research where service-oriented architecture is applied in the context of such new digital technologies and Big Data. We are seeking for papers that combine research on a service-oriented architecture with artificial intelligence and machine learning in a basic and applied way, investigating how ubiquitous and service-oriented architecture can enable and facilitate various data-oriented methods in various application environments for more intelligent and comprehensive data analytics to provide excellent services. We invite research papers related to these specific challenges and others that are driving innovation in service-oriented architecture.
The goal of this special issue is to present both novel academic and industrial solutions to challenging technical issues as well as service-oriented architecture use cases. This special issue will share related practical experiences to benefit the reader and will provide clear proof that deep learning technologies are playing an ever-increasing important and critical role in supporting data-rich service-oriented architecture - a new cross-discipline research topic in computer science, decision science, data management and information systems.
Topics to be discussed in this special issue include (but are not limited to) the following: - Machine learning and service-oriented architecture - Deep learning for business intelligence - Semantics and ontologies for service quality, licensing, selection, compositing - Advancement in theories, data analytics, and algorithms - Knowledge discovery and management - Inter- and Intra-enterprise knowledge integration and engineering - Expert and intelligent services - Visualization technologies - Security, privacy, trust, reputation, and risk issues - Industry standards and solution stacks - Provenance tracking frameworks and tools - Case studies (e.g., smart city, smart toys, healthcare, education, financial, aviation, etc.)
Deadline for authors to submit papers: *** October 18, 2018 - EXTENDED ***
Submission link: https://www.igi-global.com/publish/contributor-resources/before-you-write/
Guest Editors:
Dickson K. W. Chiu Faculty of Education The University of Hong Kong, Hong Kong SAR Email: dicksonchiu@ieee.org
Patrick C. K. Hung Faculty of Business and Information Technology University of Ontario Institute of Technology, Canada Email: patrick.hung@uoit.ca
Eleanna Kafeza College of Technological Innovation Zayed University, Abud Dhabi, The United Arab Emirates Email: Eleana.kafeza@zu.ac.ae
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