Today, while our products (like wireless devices, computers, tablets, etc.) are becoming smarter and their size shrinking, we are witnessing an increased use of AI & knowledge engineering for developing smart products with “smart” features, logics, processes, and behaviors. There is a series of ongoing intensive debates in research communities on the importance of AIKE for this new smarter business world. In recent years, the conventional techniques of product development approaches have evolved into so called knowledge-based engineering, IOTs, and AI field. As a result, the new AIKE approach has found many application-grounds and opportunities not only in the popular economic industrial worlds but also in other areas such as education, urban planning and development, governance, healthcare, business management, and so on. Today many US and international organizations are beginning to adopt AI and Knowledge Engineering techniques, tools, and their process frameworks for achieving key strategic advantages and for obtaining supremacy in collaborative product development and global competitiveness.
This call for papers is seeking new research and progress towards improving the use of AI and knowledge engineering for capturing competencies, and applying knowledge-based skills during the product development and its life-cycle management.
We are seeking papers on all related aspects of AI and KE such as research findings and novel applications on topics related to cognitive process of knowledge-mining, AI, knowledge discovery, knowledge acquisition, knowledge processing, and distribution related to IOTs and smart product and process development.
Issues, methods, and techniques related to themes such as knowledge capture, representation of engineering knowledge, Knowledge mining and discovery, Knowledge acquisition, Knowledge Intelligence, Knowledge-based engineering (KBE), knowledge-based systems (KBS), Knowledge Management (KM), Smart Processes/Products/Artifacts, Internet-Of-Things(IOTs), Knowledge management, and knowledge-driven automation (KDA), including their theoretical foundations, architectures, knowledge infrastructure and enabling IOTs and Internet technologies.
Accepted papers are grouped into special publications so that individual issues focus on a small number of theme areas. In addition to archival papers, the journal also conducts reviews in a timely fashion and informs authors of decisions with a target turnaround time of 3-6 months.
All Papers submitted to IJAIKE–Inaugural issues will be independently reviewed by a special Editorial committee to select best papers for publication in the inaugural issues. Those papers, which rank well in quality contents, long-term reference value, originality, relevancy, and presentations, will be considered favorably for publication in IJAIKE Journal.
AI and Knowledge Engineering Journal is designed to be a multi-disciplinary, fully refereed international journal that publishes
Editorial Website: https://ijaike.com/submit-your-manuscript.php
Journal Website: http://IJAIKE.com
Send your paper via Email attachments to Managing Editors, Inaugural Issues
| Dr. Brian Prasad Chief Technology Officer (CTO) and Director. |
Dr. K. Vijayakumar Professor and Head, Department of Information Technology, |
|---|---|
| Knowledge Solution, Inc | St. Joseph’s Institute of Technology |
| Redondo Beach, California, USA | OMR, Chennai, India. |
| Email: JournalAIKE@gmail.com Or PrasadBiren@gmail.com | Email: vijay@stjosephstechnology.ac.in |