Using Semantic Web Technologies to Improve the Extract Transform Load Model
Using Semantic Web Technologies to Improve the Extract Transform Load Model
About this item
Full title
Author / Creator
Publisher
Henderson: Tech Science Press
Journal title
Language
English
Formats
Publication information
Publisher
Henderson: Tech Science Press
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More information
Scope and Contents
Contents
Semantic Web (SW) provides new opportunities for the study and application of big data, massive ranges of data sets in varied formats from multiple sources. Related studies focus on potential SW technologies for resolving big data problems, such as structurally and semantically heterogeneous data that result from the variety of data formats (struct...
Alternative Titles
Full title
Using Semantic Web Technologies to Improve the Extract Transform Load Model
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2520262011
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2520262011
Other Identifiers
ISSN
1546-2226,1546-2218
E-ISSN
1546-2226
DOI
10.32604/cmc.2021.015293
