Data and Knowledge Engineering
journal
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Summary
Data and Knowledge Engineering is a scientific journal[1].
Key Facts
- Data and Knowledge Engineering's instance of is recorded as scientific journal[2].
- Data and Knowledge Engineering's editor is recorded as Peter Chen[3].
- Data and Knowledge Engineering's publisher is recorded as Elsevier[4].
- Data and Knowledge Engineering's ISSN is recorded as 0169-023X[5].
- Data and Knowledge Engineering's ISSN is recorded as 1872-6933[6].
- Data and Knowledge Engineering's OCLC number is recorded as 630595125[7].
- Data and Knowledge Engineering's Commons category is recorded as Data & Knowledge Engineering[8].
- Data and Knowledge Engineering's language of work or name is recorded as English[9].
- Data and Knowledge Engineering's archives at is recorded as Portico[10].
- Data and Knowledge Engineering's archives at is recorded as CLOCKSS[11].
- Data and Knowledge Engineering's country of origin is recorded as Kingdom of the Netherlands[12].
- +1985-01-01T00:00:00Z marks the founding of Data and Knowledge Engineering[13].
- Data and Knowledge Engineering's Freebase ID is recorded as /m/04n5jf2[14].
- Data and Knowledge Engineering's official website is recorded as http://www.elsevier.com/locate/datak[15].
- Data and Knowledge Engineering's official website is recorded as https://www.sciencedirect.com/journal/data-and-knowledge-engineering/[16].
- Data and Knowledge Engineering's main subject is recorded as computer science[17].
- Data and Knowledge Engineering's NLM Unique ID is recorded as 101550897[18].
- Data and Knowledge Engineering's ERA Journal ID is recorded as 17828[19].
- Data and Knowledge Engineering's Scopus source ID is recorded as 24437[20].
- Data and Knowledge Engineering's CODEN is recorded as DKENEW[21].
- Data and Knowledge Engineering's Danish Bibliometric Research Indicator level is recorded as 2[22].
- Data and Knowledge Engineering's Danish Bibliometric Research Indicator is recorded as 11580[23].
- Data and Knowledge Engineering's title is recorded as Data and Knowledge Engineering[24].
- Data and Knowledge Engineering's title is recorded as Data & knowledge engineering[25].
- Data and Knowledge Engineering's OpenCitations bibliographic resource ID is recorded as 277547[26].