Data Extraction (Concept): Difference between revisions

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* [[Data Instance (Concept)|Data Instance]]
* [[Data Instance (Concept)|Data Instance]]
* '''''[[Extract (Activity)|Extract]]'''''
* '''''[[Extract (Activity)|Extract]]'''''
== Glossary ==
<u><big>'''Batch Folder'''</big></u>: {{#lst:Glossary|Batch Folder}}
<u><big>'''Data Context'''</big></u>: {{#lst:Glossary|Data Context}}
<u><big>'''Data Element'''</big></u>: {{#lst:Glossary|Data Element}}
<u><big>'''Data Extraction'''</big></u>: {{#lst:Glossary|Data Extraction}}
<u><big>'''Data Extractor'''</big></u>: {{#lst:Glossary|Data Extractor}}
<u><big>'''Data Instance'''</big></u>: {{#lst:Glossary|Data Instance}}
<u><big>'''Extract'''</big></u>: {{#lst:Glossary|Extract}}

Revision as of 14:16, 21 November 2024

STUB

This article is a stub. It contains minimal information on the topic and should be expanded.

Data Extraction involves identifying and capturing specific information from documents (represented by folder Batch Folders in Grooper). Extraction is performed by configurable Data Extractors, which transform unstructured or semi-structured data into a structured, usable format for processing and analysis.

For more/related information please visit the following articles: