Web Intelligence

An International Journal

CiteScore
2022
1.8

Volume

21, 4 issues

Latest issue

21:1 online 07 April 2023

Next issue

21:2 scheduled for July 2023

Back volumes

From volume 4, 2016

ISSN print

2405-6464

ISSN online

2405-6456

Aims & Scope

Web Intelligence (WI) is now a cutting-edge area which addresses open issues towards deepening the understanding of all Web’s entities, phenomena, and developments in utilizing the power of human brains and man-made networks to create a better world.  More specifically, the fields of how artificial intelligence is impacting the Web of People,   the Web of Data, the Web of Things, the Web of Trust, the Web of Agents, the Web in industry, society, health and smart living, and the Web of Everything. Therefore, “Web Intelligence = AI in the Connected World”.

WEB OF PEOPLE

  • Cognitive Modeling and Computing
  • Conversational Search and Dialog Systems
  • Crowdsourcing and Social Computing
  • Human Centric Computing and Services
  • Human Creativity and Decision-making Support
  • Human-level Collective Intelligence
  • Human-machine Co-intelligence in the Connected World
  • Information Diffusion Modeling and Analysis
  • Opinion Mining and Sentiment Analysis
  • Recommendation Systems
  • Situation and Personality Awareness
  • Social Media and Social Networks
  • User and Behavioural Modelling
  • Wisdom Services

WEB OF DATA

  • Artificial Intelligence Generated Content (AIGC)
  • Big Data Analytics and Deep Learning
  • Big Data and Human Brain Complex Systems
  • Cognitive Models and Computational Models
  • Data Driven Services and Applications
  • Data Integration and Data Provenance
  • Data-Knowledge-Wisdom Hierarchy
  • Data Science and Machine Learning
  • Few-shot Learning and Transfer Learning
  • Graph Isomorphism and Graph Theory
  • Information Search and Retrieval
  • Knowledge Graph and Semantic Networks
  • Linked Data Management and Analytics
  • Multimodal Data Fusion 
  • Pre-trained Language Models and Applications
  • Representation Learning

WEB OF THINGS

  • Distributed Systems and Devices
  • Dynamics of Networks
  • Industrial Multi-domain Web
  • Intelligent Ubiquitous Web of Things
  • IoT Data Analytics
  • Location and Time Awareness
  • Open Autonomous Systems
  • Sensor Networks 
  • Streaming Data Analysis
  • Web Infrastructures and Devices Mobile Web
  • Wisdom Web of Things

WEB OF TRUST

  • Blockchain Analytics and Technologies
  • De-Platforming and No-platforming 
  • Decentralization of Internet
  • Fake Content and Fraud Detection
  • Hidden Web Analytics
  • Monetization Services and Applications
  • Trust Models for Agents
  • Ubiquitous Computing
  • Web Cryptography
  • Web Safety and Openness
  • Web-scale Security, Integrity, Privacy and Trust

WEB OF AGENTS

  • Agent Networks and Multi-Agent Systems
  • Autonomy Remembrance Agents
  • Autonomy-oriented Computing
  • Behaviour Modelling and Individual-based Modelling
  • Chatbot and Personal Assistants
  • Computational Social Science
  • Deep Reinforcement Learning
  • Distributed Problem-Solving and Reasoning 
  • Edge Computing and Cloud Computing
  • Local-global Behavioural Interactions
  • Mechanism Design
  • Network Autonomy Remembrance Agents
  • Self-adaptive and Self-organizing Evolutionary Systems
  • Social-cyber-physical Systems
  • Symbols-Meaning-Value Space

Web in Industry, Society, Health and Smart Living, and the Web of Everything

  • AIGC in Industry, Finance, Culture, Tourism, Education and Healthcare
  • Data Brain, City Brain and Global Brain
  • Data-driven Service Industry 
  • Data-driven Innovative Service-oriented Society
  • Digital Ecosystems and Digital Epidemiology
  • Digital Transformation and Digital Twin
  • Generative AI and the Web of Everything
  • Human-machine Symbiosis in a Connected World
  • Web3, Metaverse and Smart Living
  • Wellbeing and Healthcare in the 5G Era
  • Fairness, Accountability and Transparency
  • Explainability and Interpretability
     

Editorial Board

Editors-in-Chief

Yuefeng Li
School of Electrical Engineering and Computer Science
Queensland University of Technology
Australia

Amit Sheth
Artificial Intelligence Institute
University of South Carolina
USA

Athena Vakali
Department of Informatics
Aristotle University of Thessaloniki
Greece

Managing Editor

Xiaohui Tao
School of Science
University of Southern Queensland
Australia

Email: Xiaohui.Tao@usq.edu.au

Founding Editors-in-Chief

Prof. Dr. Jiming Liu
Hong Kong Baptist University
Hong Kong

Prof. Dr. Ning Zhong
Maebashi Institute of Technology
Japan

Advisory Board

Francis Heylighen
Free University of Brussels
Belgium

Jiming Liu
Hong Kong Baptist University
Hong Kong

Vijay Raghavan
University of Louisiana
USA

Yiyu Yao
University of Regina
Canada

Ning Zhong
Maebashi Institute of Technology
Japan

Editorial Board

Rajendra Akerkar
Western Norway Research Institute
Norway

Hong Chang
Chinese Academy of Sciences
China

Yu-Wang Chen
The University of Manchester
UK

William K. Cheung
Department of Computer Science, Hong Kong Baptist University
Hong Kong

Joseph Davis
University of Sydney
Australia

Xiaoying Gao
Victoria University of Wellington
New Zealand

Yang Gao
Beijing Institute of Technology
China

Ali Ghorbani
University of New Brunswick
Canada

Martin Giese
University of Oslo
Norway

Zhisheng Huang
Department of Computer Science, Vrije Universiteit Amsterdam
The Netherlands

Xiaolong Jin
Institute of Computing Technology, Chinese Academy of Sciences
China

Matthias Klusch
DFKI
Germany

Hoong Chuin Lau
Singapore Management University
Singapore

Raymond Yiu Keung Lau
City University of Hong Kong
Hong Kong

Carson K Leung
University of Manitoba
Canada

Lin Li
Wuhan University of Technology
China

Shou-De Lin
National Taiwan University
Taiwan

Yu-Ru Lin
University of Pittsburgh
USA

Pierre Maret
University Jean Monnet Saint Etienne
France

Guy Melancon
Université de Bordeaux
France

Marina Mongiello
Politecnico di Bari
Italy

Ngoc Thanh Nguyen
Wroclaw University of Technology
Poland

Gabriella Pasi
University of Milano-Bicocca
Italy

Heiko Paulheim
University of Mannheim
Germany

Hemant Purohit
George Mason University
USA

Yuhui Shi
Xi'an Jiaotong-Liverpool University
China

Miguel-Angel Sicilia
University of Alcala
Spain

Atsuhiro Takasu
National Institute of Informatics
Japan

Ah-Hwee Tan
Nanyang Technological University
Singapore

Pang-Ning Tan
Michigan State University
USA

Laurent Vercouter
Institut National de Sciences Appliquées de Rouen
France

Sheng-Tang Wu
Asia University
Taiwan

Xiao-Feng Xie
Carnegie Mellon University
USA

Yue Xu
Queensland University of Technology
Australia

Bo Yang
Jilin University
China

Wenping Zhang
Renmin University of China, Beijing
China

Yanqing Zhang
Georgia State University
USA

Xujuan Zhou
University of Southern Queensland
Australia

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Open Access

By default, articles published in Web Intelligence are available only to institutions and individuals with access rights. However, the journal offers all authors the option to purchase open access publication for their article as part of the IOS Press Open Library. This means that the final published version will be freely available to anyone worldwide, indefinitely, under a Creative Commons license and without the need to purchase access to the article. This is also referred to as “gold” open access.

Gold open access pricing
Authors who choose gold open access publication will be subject to an article publication charge of € 1500 / US$ 1500 for publication under the CC BY-NC 4.0 license or € 2150 / US$ 2150 for publication under the CC BY 4.0 license. Pricing is exclusive of possible taxes. After an article is accepted for publication, the corresponding author will be informed regarding the open access option during the production stages, and will have the opportunity to purchase open access for their article. It could be that the open access fee of an article is waived completely due an institutional agreement IOS Press has with the corresponding authors' institution. Please check the institutional agreements page for details.

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Authors who do not make use of the gold open access option may still make their article freely available using self-archiving, also referred to as green open access. Authors may make their final accepted manuscript available for free download from their personal or institutional website or institutional archive. This model is free for the author.

Web Intelligence Peer Review Policy
Web Intelligence is a peer-reviewed journal. All articles submitted to the journal undergo a single blind peer review process. This means that the identity of the authors is known with the reviewers but the identity of the reviewers is not communicated to the authors. Please visit our reviewer guidelines for further information about how to conduct a review.

After automatic plagiarism screening through iThenticate, all submitted manuscripts are subjected to initial appraisal by the Editor-in-Chief and, if found suitable for further consideration, to rigorous peer review by independent, anonymous expert referees. Reasons to reject a paper in the pre-screening process could for example be because the work does not fall within the aims and scope, the writing is of poor quality, the instructions to authors were not followed or the presented work is not novel. Important: all articles not created using the journal style templates for LaTeX or MS Word (see author instructions) are desk rejected.

Papers deemed suitable to be reviewed will be assigned a handling editor. The handling editor will then invite reviewers to comment on the work. Typically decisions are based on three reviews, in some circumstances a minimum of two reviews may be deemed sufficient to make a decision on a paper. The Editors-in-Chief strive to ensure a typical turnaround time of 3 months.

Reviewers are asked to judge a paper on at least:

  • Originality, novelty and significance of results
  • Technical quality of work
  • Comprehensibility and presentation of the paper
  • Overall impression

Based on the received reviews the handling editor will propose to the Editors-in-Chief a recommendation:

  • Accept
  • Minor revisions required
  • Major revisions required
  • Revise and resubmit
  • Reject

They mean the following:

  1. Accept: The manuscript is suitable for publication and only requires minor polishing; thus, no further reviews are requested.
  2. Minor revisions required: The authors are required to make moderate changes to their manuscript. The manuscript becomes acceptable for publication if the changes proposed by the reviewers and editors are successfully addressed. The revised manuscript will be examined by the Editors-in-Chief and possibly sent back to all (or a selection of) reviewers for a second round of reviews. Authors are requested to provide a letter to the reviewers detailing the improvements made for the resubmission.
  3. Major revisions required: The manuscript cannot be accepted for publication in its current form. However, a major revision which addresses all issues raised by the reviewers may be acceptable for publication. The revised manuscript will undergo a full second round of review. Authors are requested to provide a letter to the reviewers detailing the improvements made for the resubmission.
  4. Revise and resubmit: In its current form, the manuscript is not suitable for publication. A resubmission would require substantial revisions and is only encouraged in special cases.
  5. Reject: The manuscript is rejected as it is deemed to be out of scope, not relevant, or not meeting the journal's quality standards in terms of significance, novelty, and/or presentation.

Authors are notified by the Editors-in-Chief, whose decision is final.

Extra

Formerly Web Intelligence and Agent Systems (ISSN print 1570-1263, ISSN online 1875-9289)

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