IOSPress

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)

By submitting my article to this journal, I agree to the IOS Press License to Publish: https://www.iospress.nl/service/authors/author-copyright-agreement/ and the IOS Press Privacy Policy: https://www.iospress.nl/privacy-policy/.

See instructions to authors here: http://wi-consortium.org/wias/scripts/submit.php

An Author Order Form will be provided along with the PDF proof.

Required files
For initial submission a .pdf file of the article is sufficient. After an article has been accepted for publication an editable file of the text, such as MsWord or LateX, is required. If you are uploading a paper that has been accepted for publication or accepted pending minor revisions please upload the source files of the paper. If using LaTeX please use our LaTeX template and also send a pdf version of the LaTeX file as well as separate files of all figures (if any); see "Preparation of manuscripts" for the required file formats. LaTeX packages should be compiled into .zip or .rar files.

IOS Pre-press
This journal publishes all its articles in the IOS Press Pre-Press module. By publishing articles ahead of print the latest research can be accessed much quicker. The pre-press articles are the corrected proof versions of the article and are published online shortly after the proof is created and author corrections implemented. Pre-press articles are fully citable by using the DOI number. As soon as the pre-press article is assigned to an issue, the final bibliographic information will be added. The pre-press version will then be replaced by the updated, final version.

Kudos

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