Journal of Intelligence and Knowledge Engineering (JIKE)

ISSN (Print): 2959-0620
ISSN (Online):
APC: ¥: 2500 CNY
Databases: ✥CNKI,
Publishing Time: Acceptance 3 Months

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and practice by promoting the publication of original, novel, industry-relevant research, to solicit original and unpublished research papers, based on theoretical or experimental works.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and practice by promoting the publication of original, novel, industry-relevant research, to solicit original and unpublished research papers, based on theoretical or experimental works.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



JIKE welcomes original research that explores the intersection of intelligence and knowledge engineering with a strong empirical component, as well as theoretical or experimental works that bridge the gap between academic research and real-world industry practice. All manuscripts undergo rigorous peer review to ensure originality, novelty, and practical relevance to industrial challenges.