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[[ | ''[[CMIS Export]]'' | ||
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''CMIS Export'' is one of the '''''[[Export Provider]]s''''' available to the '''Document Export''' activity. It exports content over a '''[[CMIS Connection]]''', allowing users to export documents and their metadata to various on-premise and cloud-based storage platforms. | |||
''CMIS Exports'' can be either "Mapped" or "Unmapped". | |||
* ''Unmapped Export'' is a simple export of files to folders. Metadata (such as data extracted from documents used to populate a '''[[Data Model]]''') must be exported as a "buddy file", such as an XML or CSV file. This is appropriate for simple storage platforms such as the Windows NTFS file system. | |||
* ''Mapped Export'' allows you to export files and their metadata to a repository that allows for metadata storage as well. Many content management systems allow for document storage as well as storing metadata in fields in the storage platform. This is done by pointing the extracted and available document metadata from Grooper to corresponding locations within the content management system. This is set up using the '''CMIS Content Type''' objects in the '''[[CMIS Repository]]''' object, mapping a connection between objects in a '''[[Content Model]]''' within Grooper (such as '''Data Fields''' in a '''Data Model''') and their corresponding locations in the content management system (such as a column in a SharePoint site). | |||
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The earliest examples of OCR (Optical Character Recognition) can be traced back to the 1870s? Early OCR devices were actually invented to aid the blind. This included "text-to-speech" devices that would scan black print and produce sounds a blind person could interpret, as well as "text-to-tactile" machines which would convert luminous sensations into tactile sensations. Machines such as these would allow a blind person to read printed text not yet converted to Braille. | The earliest examples of OCR (Optical Character Recognition) can be traced back to the 1870s? Early OCR devices were actually invented to aid the blind. This included "text-to-speech" devices that would scan black print and produce sounds a blind person could interpret, as well as "text-to-tactile" machines which would convert luminous sensations into tactile sensations. Machines such as these would allow a blind person to read printed text not yet converted to Braille. |
Revision as of 10:10, 22 December 2020
Getting Started | |||
Grooper was built from the ground up by BIS, a company with 35 years of continuous experience developing and delivering new technology. Grooper is an intelligent document processing and digital data integration solution that empowers organizations to extract meaningful information from paper/electronic documents and other forms of unstructured data. The platform combines patented and sophisticated image processing, capture technology, machine learning, natural language processing, and optical character recognition to enrich and embed human comprehension into data. By tackling tough challenges that other systems cannot resolve, Grooper has become the foundation for many industry-first solutions in healthcare, financial services, oil and gas, education, and government. |
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2.90 Reference Documentation |
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CMIS Export is one of the Export Providers available to the Document Export activity. It exports content over a CMIS Connection, allowing users to export documents and their metadata to various on-premise and cloud-based storage platforms. CMIS Exports can be either "Mapped" or "Unmapped".
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The earliest examples of OCR (Optical Character Recognition) can be traced back to the 1870s? Early OCR devices were actually invented to aid the blind. This included "text-to-speech" devices that would scan black print and produce sounds a blind person could interpret, as well as "text-to-tactile" machines which would convert luminous sensations into tactile sensations. Machines such as these would allow a blind person to read printed text not yet converted to Braille. The first business to install an OCR reader was the magazine Reader's Digest in 1954. The company used it to convert typewritten sales reports into machine readable punch cards. It would not be until 1974 that OCR starts to form as we imagine it now with Ray Kurzweil's development of the first "omni-font" OCR software, capable of reading text of virtually any font. |
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