Web Intelligence IOS Press Journal Impact Factor

Web Intelligence - IOS Press | 2024 Impact Factor:0.3 | Cite Score:0.7 | Q4

Web Intelligence Journal With Cite Score

Cite Score and Journal Rank of Web Intelligence

About: The Web Intelligence Journal publishes original research articles, reviews, and case studies related to the application of intelligent techniques to web technologies. Topics include web mining, semantic web, web-based artificial intelligence, machine learning applications on the web, web data analytics, and intelligent web services. The journal aims to explore both theoretical and practical aspects of web intelligence.
Objective
The primary objective of the journal is to advance the field of web intelligence by presenting high-quality research that explores new techniques, methodologies, and applications. It seeks to provide a platform for researchers, practitioners, and industry professionals to share insights and contribute to the development of intelligent web technologies.
Interdisciplinary Approach
Web Intelligence Journal adopts an interdisciplinary approach, recognizing that advancements in web intelligence often involve insights from fields such as computer science, artificial intelligence, data science, and information systems. The journal encourages research that integrates these diverse perspectives to address complex problems and develop innovative web-based solutions.
Impact and Significance
The journal plays a significant role in the web intelligence community by offering a valuable resource for understanding the latest developments and trends. Its impact is reflected in its ability to influence web technology practices, drive innovation in web intelligence, and contribute to advancements in intelligent web systems.

Journal Home: Journal Homepage

Editor-in-Chief: Xiaohui Tao

Scope: The Web Intelligence Journal focuses on research and advancements in the field of web intelligence, exploring various aspects of intelligence related to web technologies and applications. It aims to promote the development and application of intelligent systems for web-based environments.
Web Intelligence Techniques and Methods:
Fundamentals and methodologies of web intelligence
Machine learning and data mining techniques applied to web data
Natural language processing for web content analysis
Web crawlers and information retrieval systems
Intelligent algorithms for web-based data analysis
Semantic Web and Ontologies:
Concepts and technologies in the semantic web
Development and application of ontologies
Semantic search and data integration
Linked data and knowledge representation
Advances in semantic web technologies and their impact
Web Data and Analytics:
Techniques for analyzing web data and user behavior
Big data analytics and its applications in web environments
Web usage mining and user profiling
Visualization of web data and analytical results
Tools and technologies for web data analysis
Web-based Intelligent Systems:
Development of intelligent systems for web applications
Adaptive and personalized web services
Intelligent web agents and their applications
Applications of artificial intelligence in web-based systems
Case studies and practical implementations of web intelligence
Future Trends and Research Directions:
Emerging trends and technologies in web intelligence
Predictions for the future of intelligent web systems
Research opportunities and challenges in web intelligence
Innovations in web technologies and their impact on web intelligence
Future research agendas and directions in the field