JETWI - Journal of Emerging Technologies in Web Intelligence

ISSN : 1798-0461

Number of issues per year :

(Feb, May, Aug, Nov)

Number of papers per issue : ~8

Page Size : ~80 pages

Format : A4 (8.27" × 11.69") offset paper

Downloa

Flyer

Editor-in-Chief

Prof. Dr. Sabah Mohammed, PEng
Dept. Computer Science, Lakehead University, Canada
Email: jetwi.editorial@gmail.com

Associate Editor-in-Chiefs

Prof. Dr. Hamid Arabnia, Dept. Computer Science, The University of Georgia, USA
Dr. Richard Chbeir, Laboratoire LE2I (UMR - CNRS), Bourgogne University, France
Prof Dr. Jinan Fiaidhi, Dept. Computer Science, Lakehead University, Canada
Prof. Dr. Daniel Lemire, LICEF, University of Quebec at Montreal, Canada
Prof. Dr. James Peters, Dept. Electrical & Computer Engineering, University of Manitoba, Canada
Prof. Dr. Abdulmotaleb El Saddik, School of Information Tech. & Eng., University of Ottawa, Canada
Prof. Dr. Weiming Shen, National Research Council of Canada, Canada
Prof. Dr. Yiyu Yao, Dept. Computer Science, University of Regina, Canada
Dr. Jiehan Zhou, Computer Science and Engineering Lab, University of Oulu, Finland

Aim

Following the introduction of the phrase "Web 2.0" as a description of the recent evolution of the
Web, the term "Emergent Web Intelligence or Web 3.0" has been introduced to hypothesize about a
future wave of Internet innovation. Views on the next stage of the World Wide Web's evolution vary
greatly, from the concept of emerging technologies such as the Semantic Web transforming the
way the Web is used (and leading to new possibilities in artificial intelligence) to the observation
that increases in Internet connection speeds, modular web applications, and advances in
computer graphics will play the key role in the evolution of the World Wide Web.

JETWI, a peer reviewed and indexed international journal, aims at gathering the latest advances of
various topics in web intelligence and reporting how organizations can gain competitive
advantages by applying the different emergent techniques in the real-world scenarios. Papers and
studies which couple the intelligence techniques and theories with specific web technology
problems are mainly targeted. Survey and tutorial articles that emphasize the research and
application of web intelligence in a particular domain are also welcomed.

Scope

Topics includes

Web 3.0
Enterprise Mashup
Ambient Intelligence (AmI)
Situational Applications
Emerging Web-based Systems
Ambient Awareness
Ambient and Ubiquitous Learning
Ambient Assisted Living
Telepresence
Lifelong Integrated Learning
Smart Environments
Web 2.0 and Social intelligence
Context Aware Ubiquitous Computing
Intelligent Brokers and Mediators
Web Mining and Farming
Wisdom Web
Web Security
Web Information Filtering and Access Control Models
Web Services and Semantic Web
Human-Web Interaction
Web Technologies and Protocols
Web Agents and Agent-based Systems
Agent Self-organization, Learning, and Adaptation
Agent-based Knowledge Discovery
Agent-mediated Markets
Knowledge Grid and Grid intelligence
Knowledge Management, Networks, and Communities
Agent Infrastructure and Architecture
Agent-mediated Markets
Cooperative Problem Solving
Distributed Intelligence and Emergent Behavior
Information Ecology
Mediators and Middlewares
Granular Computing for the Web
Ontology Engineering
Personalization Techniques
Semantic Web
Web based Support Systems
Web based Information Retrieval Support Systems
Web Services, Services Discovery & Composition
Ubiquitous Imaging and Multimedia
Wearable, Wireless and Mobile e-interfacing
E-Applications
Cloud Computing
Web-Oriented Architectrues

Target Audience

The primary target audience for the journal includes researchers, scholars, postgraduate students
and developers who are interested in Web intelligence and Emerging Technologies research and
related issues. The journal will provide reviews of the cutting–edge technologies and insights for
using intelligence at Web-based systems. In particular, the journal will be valuable library
reference for research fellows, postgraduate and senior undergraduate students who are
researching Web intelligence. Moreover, the new journal seeks to collaborate with major societies
and international conferences in the fields.

The Rising Scholar Paper (RSP) Audience

The Journal of Emerging Technologies in Web Intelligence (JETWI) invites graduate students (i.e.
MSc/PhD) to submit rising scholar papers. The RSP should provide in depth research examination
of the state of the art in an area covered by JETWI research scope. The RSP authors should
demonstrate that they have a critical perspective of the area, and that they are aware of open
problems and research opportunities. Although RSP authors may not themselves have contributed
to the area, they should be as informed and analytical as those who work in it.

Abstracting and Indexing in: