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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, and emerging Web in health and smart living in the 5G Era. Therefore, "Web Intelligence = AI in the Connected World".

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 committed to publishing research that both deepens the understanding of computational, logical, cognitive, physical, and social foundations of the future Web, and enables the development and application of technologies based on Web intelligence.

WI is a peer-reviewed journal, which publishes four issues a year, in both online and print form. The journal features high-quality, original research articles (including state-of-the-art reviews), brief papers, and letters in all theoretical and technological areas that make up the field of WI. The articles should clearly focus on one or some of the following areas of interest:

WEB OF PEOPLE

• Crowdsourcing and Social Data Mining Human Centric Computing
• Information Diffusion Knowledge Community Support
• Modelling Crowdsourcing 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

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

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)

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 Web Safety and Openness
• Web-scale Security, Integrity, Privacy and Trust

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

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

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

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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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