Data Extraction (Concept): Difference between revisions

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For more/related information please visit the following articles:
For more/related information please visit the following articles:
* [[Data Context (Concept)|Data Context]]
* [[Data Context]]
* '''[[Data Element (Concept)|Data Element]]'''
* '''[[Data Element]]'''
* '''[[Data Extractor (Concept)|Data Extractor]]'''
* '''[[Data Extractor]]'''
* [[Data Instance (Concept)|Data Instance]]
* [[Data Instance]]
* '''''[[Extract (Activity)|Extract]]'''''
* '''''[[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}}

Latest revision as of 13:25, 11 March 2025

STUB

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

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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:

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