Data & Knowledge Engineering (D&KE)

Database Systems and Knowledgebase Systems share many common principles. Data & Knowledge Engineering (DKE) stimulates the exchange of ideas and interaction between these two related fields of interest. DKE reaches a world-wide audience of researchers, designers, managers and users. The major aim of the journal is to identify, investigate and analyze the underlying principles in the design and effective use of these systems. DKE achieves this aim by publishing original research results, technical advances and news items concerning data engineering, knowledge engineering, and the interface of these two fields.

Data & Knowledge Engineering (D&KE) is :-

• International, Peer-Reviewed, Open Access, Refereed, Information Systems and Management, data engineering, knowledge engineering, the integration of data‑intensive information systems and intelligent systems, implementation, and performance of database systems, knowledge base systems, conceptual modeling, data/knowledge manipulation techniques , Online or Print , Monthly Journal

• UGC Approved, ISSN Approved: P-ISSN P-ISSN: 0169-023X, E-ISSN: 1872-6933, Established: 1985, Impact Factor: 2.6
• Does Not Provide Crossref DOI

• Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE