Web Intelligence (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 addressing 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 IEEE/WIC/ACM International Conference on Web Intelligence (WI) has been held jointly with the IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT) since 2001 in Europe, North America, and Asia Pacific. Starting in 2016, the IAT conference as well as its themes and topics will be embedded inside WI.
WI'16 features high-quality, original research papers and real-world applications in all theoretical and technology areas that make up the field of WI. WI'16 welcomes both research and application papers submissions. All submitted papers will be reviewed on the basis of technical quality, relevance, significance and clarity. Accepted full papers will be included in the proceedings published by IEEE Computer Society Press.
Topics of Interest:
Collective Intelligence
Agent Networks
Autonomy-Oriented Computing (AOC)
Behavior Modeling
Big Data and Human Brain
Complex Systems Modeling
Crowd-Sourcing
Digital Ecosystems
Digital Epidemiology
Distributed Problem Solving
Global Brain
Individual-Based Modeling
Knowledge and Information Agents
Local-Global Behavioral Interactions
Mechanism Design
Multi-Agent Systems
Network Autonomy
Remembrance Agents
Self-Organizing Systems
Self-Adaptive Evolutionary Systems
Social Groups and Dynamics
Trust Models for Agents
Ubiquitous Computing
Data Science
Algorithms and Computational Complexity
Big Data Applications
Big Data Infrastructure
Blog/Twitter Analysis
Cloud Computing
Data Integration and Data Provenance
Heterogeneous Data Sources
Green Computing
Location-Based Data Analytics
Multimedia and Mobile Data Processing
NoSQL Data Stores and DB Scalability
Novel Data Representation and Transformation Methods
Online Content and Log Mining
Security, Privacy, Trust, and Legal Issues to Big Data
Semi-Structured and Unstructured Data Analytics
Sentiment and Opinion Mining
Service-Oriented Computing
Spatial, Temporal, and Graph Data Mining
Stream Data and Event Processing
Human-Centric Computing
Cognitive Models of WI
Computational Models of WI
Context-Aware Computing
Cyber Individual and Personalization
Emotional Factor
Intelligent Human-Web Interaction
Nature-Inspired Computing
Online Cooperative Work
Recommender Systems
Social Media Technologies
User Modeling
Virtual and Online Communities
Visualization and Visual Analytics
Wearable Technologies
Knowledge Management
Decision Making Under Uncertainty
Information Extraction from Deep Web
Intelligent e-Technology
Knowledge Sharing
Knowledge Bases and Semantic Networks
Linked Data Cloud
Meta-Knowledge Discovery and Representation
Ontology Engineering
Scalable Semantic Data Processing
Semantic Web
Statistical Inference and Transformation from Data to Knowledge
Web-Scale Information Analytics
Web-Scale Reasoning
Web-Scale Security, Integrity, Privacy and Trust
Network Science
Complex Network Analytics
Content-Aware Analytics
Dynamics of Networks
Information Diffusion
Intelligent Ubiquitous Web
Internet of Things
Knowledge Community Support
Self-Organizing Networks
Semantic Networks
Sensor Networks
Situational Awareness
Social Network Analysis
Structures of Networks
Theories of Web Science
Wisdom Web of Things (W2T)
10月13日
2016
10月16日
2016
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