Main Theme

The theme for the WI-IAT'22 is "Web Intelligence = AI in the Connected World"




Tracks and Topics

TRACK 1: WEB OF PEOPLE

  • Crowdsourcing and Social Data Mining
  • Human Centric Computing
  • Information Diffusion
  • Knowledge Community Support
  • Modelling Crowd-Sourcing
  • Opinion Mining
  • People Oriented Applications and Services
  • Recommendation Engines
  • Sentiment Analysis
  • Situational Awareness Social Network Analysis
  • Social Groups and Dynamics
  • Social Media and Dynamics
  • Social Networks Analytics
  • User and Behavioural Modelling

  • TRACK 2: WEB OF DATA

  • Algorithms and Knowledge Management
  • Autonomy-Oriented Computing (AOC)
  • Big Data Analytics
  • Big Data and Human Brain Complex Systems
  • Cognitive Models
  • Computational Models
  • Data Driven Services and Applications
  • Data Integration and Data Provenance
  • Data Science and Machine Learning
  • Graph Isomorphism
  • Graph Theory
  • Information Search and Retrieval
  • Knowledge Graph
  • Knowledge Graph and Semantic Networks
  • Linked Data Management and Analytics
  • Self-Organizing Networks
  • Semantic Networks
  • Sensor Networks
  • Web Science

  • TRACK 3: WEB OF THINGS

  • Complex Networks
  • 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
  • Streaming Data Analysis
  • Web Infrastructures and Devices Mobile Web
  • Wisdom Web of Things (W2T)

  • TRACK 4: WEB OF TRUST

  • Blockchain analytics and technologies
  • Fake content and fraud detection
  • Hidden Web Analytics
  • Monetization Services and Applications
  • Trust Models for Agents
  • Ubiquitous Computing
  • Web Cryptography
  • Monetization services and applications
  • Web safety and openness

  • TRACK 5: WEB OF AGENTS

  • Agent Networks
  • Autonomy Remembrance Agents
  • Autonomy-oriented Computing
  • Behaviour Modelling
  • Distributed Problem-Solving Global Brain
  • Edge Computing
  • Individual-based Modelling Knowledge
  • Information Agents
  • Local-global Behavioural Interactions
  • Mechanism Design
  • Multi-Agent Systems
  • Network Autonomy Remembrance Agents
  • Self-adaptive Evolutionary Systems
  • Self-organizing Systems
  • Social Groups and Dynamics

  • SPECIAL TRACK: EMERGING WEB IN HEALTH AND SMART LIVING

  • Big Data in Medicine
  • City Brain and Global Brain
  • Digital Ecosystems
  • Digital Epidemiology
  • Health Data Exchange and Sharing
  • Healthcare and Medical Applications and Services
  • Omics Research and Trends
  • Personalized Health Management and Analytics
  • Smart City Applications and Services
  • Time Awareness and Location Awareness Smart City
  • Wellbeing and Healthcare in the 5G Era
  • Top