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ONBASE FULL TEXT INDEXING SERVER FOR VERITY

The OnBase Verity Full-Text Indexing module provides advanced searches for words or phrases that exist within documents stored in OnBase. This powerful search tool is integrated with the OnBase security model, thus enabling access to full-text collections to only those users with sufficient privileges.

Searches are conducted for words or phrases that may exist in documents in OnBase in virtually any file format: this includes COLD documents or text renditions of image documents (OCR images) as well as many third party application documents, such as Microsoft Word, WordPerfect and Adobe PDF. These searches are significantly faster than regular text searches and allow users to quickly find the occurrence of a particular word within a vast set of documents. The integration of OnBase and Verity Full Text Server revolves around the correlation between OnBase document types and Verity Collections.

Application
During the configuration process, document types are associated with Verity Collections. When a document is processed into the OnBase system, a copy of the document is sent to the Verity Disk Group. Documents are then full text indexed and the indexes, along with pointers to where the documents reside, are stored in Collections on the Verity server.

One or many Verity Collections can be searched using various search methods, including:

Advanced searches with "AND", "OR", and "NOT" operators 
Thesaurus searches that search for a word or any synonyms of the word 
"SOUNDEX", or "Sounds Like" searches (This is an extremely powerful function when searching for names or other words where the user is unsure of the exact syntax) 
"Fuzzy" or Typo searches that search for words that are similar in spelling. This is very useful on documents that have been OCR'd 
Perform a free text search for a phrase that automatically uses the "OR" operator and the "Forms of" function 
Proximity searches with the "NEAR" operator 
Perform "Forms of" searches 
Wildcard searches

The set of documents that matched the full-text search string criteria are returned to the user. The user can then view the hits when they open the document and can easily "hot key" to all occurrences within the document. If the user wishes to see the original document, they can view all other renditions (image, text, Word, etc.) of the document. 

During an employee recruiting process, a company can receive a multitude of resumes. If the company is looking for a specific skill set, they need the ability to search all resumes for that skill set. With OnBase, the company would scan the resumes and import them using the OnBase Document Imaging module. They would then perform OCR on the resumes and send the text rendition to the full- text repository. They could also store any resumes sent via e-mail that are still in their native format (e.g. Microsoft Word).

Once in the full-text repository, a user searches for words and phrases related to the desired skill set. For example, if the company needs a chemical engineer, the user would utilize Verity search options to find that phrase or forms of those words within the entire full-text repository. A list of resumes containing the desired information would be returned within seconds. If the user needed a chemical engineer with experience in statistics, a search could be performed for "chemical engineer" and "statist* analys*" and get a list of resumes matching that search. Resumes would be returned with the words "chemical engineer" and all forms of the words "statistics" or "analyze". The company has essentially reduced the time it takes to look for a specific skill set in a group of resumes from days, to seconds.

There are numerous applications where Verity Full Text Search can be utilized. In many cases, assigning indexing information for every word or phrase may not be practical. Legal contracts, product labels, material safety sheets and product datasheets are excellent candidates for full text searching.

OnBase's Verity integration enables intelligent, granular searching for the entire knowledge enterprise.

Core Features

  • Documents can enter the full-text repository regardless of system entry point 
  • User security at the Collection level 
  • Full-text renditions stored in standard OnBase disk groups 
  • Automatic full-text performed on revisions of documents

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