Journal of Artificial Intelligence and Knowledge Engineering (JAIKE) is the Knowledge Solutions Society publication on artificial intelligence (AI) and Knowledge Engineering (KE). It bridges the gap between AI & KE theories and practices. It publishes original, significant, and timely leading-edge theories and technologies of AI and Knowledge Engineering that utilizes cognitive process of knowledge-mining, knowledge-acquisition, Knowledge-learning, knowledge-discovery, K-reasoning, K-processing, and K-optimization. It serves AI scientists, engineers, policymakers, and business stakeholders of all levels.
The Journal of Artificial Intelligence and Knowledge Engineering (JAIKE) is a scientific publication addressing various topics related to artificial intelligence and the Internet of Things (IoT), including knowledge mining, discovery, acquisition, processing, and distribution. The journal was launched in 2024 and is published on an open-access basis by the Association for the Advancement of Knowledge Solutions (AAKS) in cooperation with the EurAsia Academic Publishing Group (EAPG). The journal employs the double-blind peer-review method and publishes articles in English. It is a quarterly publication that disseminates state-of-the-art research on emerging topics, book reviews on relevant topics in related areas, and application papers of interest to artificial intelligence and knowledge engineering-oriented researchers and industrial professionals.
Journal of AIKE is a peer-reviewed quarterly publication of the AAKS Society.
Our technical cosponsors are Professors at the St. Joseph’s Institute of Technology, OMR, Chennai, India and Board of directors of Knowledge Solutions (KSol) based in Redondo Beach, California, USA.
We have also sought technical sponsorships from many organizations including the European Association for Artificial Intelligence (EurAI).—currently in progress.
Journal of AI and Knowledge Engineering (JAIKE)—An International Journal provides an international forum for computer engineering researchers and professionals to share their 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 development. This quarterly peer-reviewed archival journal publishes state-of-the-art research on emerging topics in KEAI, book reviews of important techniques in related areas, and application papers of interest to researchers and industrial professionals.