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Web Intelligence

Web Intelligence


eISSN: 24056464 | ISSN: 24056456

Web Intelligence (WI) is an official journal of the Web Intelligence Consortium (WIC), an international organization dedicated to promoting collaborative scientific research and industrial development in the era of Web intelligence. WI seeks to collaborate with major societies and international conferences in the field. WI is a peer-reviewed journal, which publishes four issues a year, in both online and print form.

WI aims to achieve a multi-disciplinary balance between research advances in theories and methods usually associated with Collective Intelligence, Data Science, Human-Centric Computing, Knowledge Management, and Network Science. It is committed to publishing research that both deepen the understanding of computational, logical, cognitive, physical, and social foundations of the future Web, and enable the development and application of technologies based on Web intelligence. The journal features high-quality, original research papers (including state-of-the-art reviews), brief papers, and letters in all theoretical and technology areas that make up the field of WI.

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

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