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Data & Knowledge Engineering is a monthly peer-reviewed academic journal in the area of database systems and knowledge base systems. It is published by Elsevier and was established in 1985. The editor-in-chief is P.P. Chen (Louisiana State University).
Technology & Science
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journal data chen engineering elsevier knowledge monthly 1985 science impact factor 992 2020 peer-reviewed editor-in-chief citation academic area database systems
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Data & Knowledge Engineering | CODEN | DKENEW | 1.00 | infobox |
| Data & Knowledge Engineering | Discipline | Computer science | 1.00 | infobox |
| Data & Knowledge Engineering | Edited by | P.P. Chen | 1.00 | infobox |
| Data & Knowledge Engineering | Frequency | Monthly | 1.00 | infobox |
| Data & Knowledge Engineering | History | 1985–present | 1.00 | infobox |
| Data & Knowledge Engineering | Impact factor | 1.992 (2020) | 1.00 | infobox |
| Data & Knowledge Engineering | ISO 4 | Data Knowl. Eng. | 1.00 | infobox |
| Data & Knowledge Engineering | ISSN | 0169-023X (print) 1872-6933 (web) | 1.00 | infobox |
| Data & Knowledge Engineering | Language | English | 1.00 | infobox |
| Data & Knowledge Engineering | LCCN | 90649274 | 1.00 | infobox |
| Data & Knowledge Engineering | OCLC no. | 630595125 | 1.00 | infobox |
| Data & Knowledge Engineering | Publisher | Elsevier | 1.00 | infobox |
| Data & Knowledge Engineering | is a | monthly peer-reviewed academic journal in the area of database systems and knowledge base systems | 0.90 | text |
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