Journal of Intelligence and Knowledge Engineering (JIKE)
Journal of Intelligence and Knowledge Engineering (JIKE) to impart a platform for publishing results and research with a strong empirical component, to create a bridge for significant gap between research and practice by promoting the publication of original, novel, industry-relevant research, to solicit original and unpublished research papers, based on theoretical or experimental works.
Aims & Scope
Journal of Intelligence and Knowledge Engineering (JIKE) to impart a platform for publishing results and research with a strong empirical component, to create a bridge for significant gap between research and practice by promoting the publication of original, novel, industry-relevant research, to solicit original and unpublished research papers, based on theoretical or experimental works.
Aims
To provide a platform for researchers, industry practitioners, and academics to share innovative theories, practical methodologies, and empirical findings in the fields of intelligence and knowledge engineering.
To facilitate the exchange of information and interdisciplinary collaboration among scholars, engineers, and professionals worldwide in the domain of intelligent systems and knowledge management.
To bridge the significant gap between theoretical research and industrial practice, and promote the application of research results in real-world engineering and business scenarios.
To encourage in-depth exploration and innovative research on emerging trends, hot issues, and practical challenges in global intelligence and knowledge engineering.
Scope
The journal covers a wide range of topics related to intelligence and knowledge engineering, including but not limited to:
Intelligence Engineering
- Artificial intelligence and machine learning algorithms
- Natural language processing and understanding
- Computer vision and pattern recognition
- Intelligent robotics and autonomous systems
- Edge intelligence and distributed AI systems
Knowledge Engineering
- Knowledge representation and reasoning
- Ontology engineering and semantic web
- Knowledge graph construction and application
- Data mining and knowledge discovery
- Knowledge management and organizational learning