Canadian Journal on Data, Information and Knowledge Engineering is an open access journal encompassing contents on storage and retrieval of data and extracting knowledge to empower intelligence and automation from present world amass data. It aims at disseminating original research and practical systems contribution in form of research papers, tutorials, survey article from engineers, researchers and scientists in industry and academia.

Canadian Journal on Data, Information and Knowledge Engineering includes topics but not limited to: Novel data models and architectures for databases and knowledgebase, knowledge representation techniques, data manipulation languages, knowledge manipulation languages, expert systems, distributed architectures, user interfaces, human computer interaction, information and knowledge acquisition methods, information and knowledge engineering applications, linguistics, natural language processing, data mining, search engine designs and optimization, spatial databases, spatial database searching and retrieval, spatial database indexing, machine learning principles for knowledge engineering, data visualization for portable devices, optimization of knowledge engineering for portable devicesetc