Submission Deadline: 01 December 2023 (closed) View: 167
Nowadays there have been many research and applications in data science and knowledge engineering for modern daily lives. With the development of new technologies, smart systems have become more useful and be applied in a wide range of areas, including industry, education, healthcare, computer vision, software engineering, fintech, and administrator management.
Intelligent systems have been created to better serve the increasing needs of people. Those systems require a knowledge base to become more intelligent and acceptable in the real-world. Knowledge Engineering studies the methods for Knowledge Representation and Reasoning, which are exciting and well-established fields of research in designing knowledge bases for intelligent systems. Knowledge engineering has derived challenges from new and emerging fields including the semantic web, computational biology, and the development of software agents. It is also the foundation for building potential technologies of intelligent software.
The main objective of this Special Issue is to highlight the technologies in knowledge engineering anddata science. Those techniques tend to apply in the real-world, especially intelligent systems for real-world applications. It also discusses and exchanges recent innovations, developments and challenges in knowledge representation, automated reasoning and hybrid intelligent systems, such as, using knowledge base, big data, machine learning, etc. for application in industry, engineering, science, industry, automation & robotics, business & finance.