Web Intelligence
An International Journal
- ISSN print
- 2405-6456
- ISSN online
- 2405-6464
- Volume
- 17; 4 issues
- Status
- Last issue (16:4) online on 06 November 2018
- Next issue
- 17:1 scheduled for February 2019
- Back volumes
- 1-16
- Subject
- Artificial Intelligence, Computer & Communication Sciences, Computer Science, Linked Data
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.
The papers should clearly focus on some of the following areas of interest:
a. 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
b. 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
c. 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
d. 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
e. 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)
Editors-in-Chief Prof. Dr. Yuefeng Li Prof. Dr. Vijay V. Raghavan Founding Editors-in-Chief Prof. Dr. Jiming Liu Prof. Dr. Ning Zhong Track Editors Collective Intelligence Data Science Human-Centered Computing Knowledge Management Network Science
| Editorial Board Hong Chang Yu-Wang Chen Joseph Davis Xiaoying Gao Ali Ghorbani Martin Giese Zhisheng Huang Tan Ah Hwee Xiaolong Jin Matthias Klusch Hoong Chuin Lau Raymond Lau Carson KS Leung Shou-De Lin Yu-Ru Lin Pierre Maret Guy Melancon Marina Mongiello Ngoc Thanh Nguyen Gabriella Pasi Heiko Paulheim Yuhui Shi Miguel-Angel Sicilia Atsuhiro Takasu Pang-Ning Tan Xiaohui Tao Laurent Vercouter Sheng-Tang Wu Xiaofeng Xie Yue Xu Bo Yang |
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