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admin:indexing:text:home [2011/01/24 23:23]
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admin:indexing:text:home [2016/06/28 22:38] (current)
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 **[[admin:​indexing:​text:​home|Overview]]** |  **[[admin:​indexing:​text:​home|Overview]]** | 
-**[[admin:​indexing:​text:​clob|Large Text Fields]] |  +[[admin:​indexing:​text:​clob|Textual Datatypes]] |  
-**[[admin:​indexing:​text:​retrieve|External Files]] |  +[[admin:​indexing:​text:​retrieve|External Files]] |  
-**[[admin:​indexing:​text:​proximity|Proximity Searches]] |  +[[admin:​indexing:​text:​proximity|Proximity Searches]] |  
-**[[admin:​indexing:​text:​results|Displaying Results]] |  +[[admin:​indexing:​text:​advanced|Advanced Searches]] | 
-**[[admin:​indexing:​text:​relevancy|Relevancy]]+[[admin:​indexing:​text:​results|Displaying Results]] |  
 +[[admin:​indexing:​text:​relevancy|Relevancy]]
  
 ---- ----
  
 +==== Overview ====
  
 +Omnidex allows applications to search for both textual and non-textual data using SQL statements. ​ For most textual data, [[admin:​indexing:​indexes:​types|QuickText]] indexes parse the individual keywords in the column and allows them to be individually qualified. ​ This feature is well suited for small textual fields, such as names, addresses, descriptions,​ comments and so forth. ​ QuickText indexes are simple and efficient, but when working with larger blocks of text, more powerful indexing is needed.
  
-==== Overview ====+Omnidex Text provides more sophisticated indexes designed for large amounts of textual data stored in a database, such as articles, knowledgebase entries, forums, lengthy product descriptions and so forth. ​ Omnidex Text focuses on searching text in a database. ​ Omnidex Text is not a document management system and does not parse Microsoft Office, PDF, HTML or XML files. ​ Omnidex Text can index large textual files outside of the database, using a table as a catalog. 
 + 
 +Omnidex Text works seamlessly with the rest of Omnidex and allows large textual fields to be searched alongside regular columns in standard SQL statements, using standard ODBC and JDBC interfaces. ​ Queries can issue traditional queries with criteria, table joins, aggregations and ordering, while at the same time querying large blocks of text. 
 + 
 +Omnidex Text provides additional features that allow excerpts to be extracted from the text, and allows sorting by relevancy, similar to an Internet search engine. ​ Omnidex Text also allows [[admin:​indexing:​powersearch:​home|PowerSearch]] to be used against large textual data, providing features like misspellings,​ word forms and synonyms.
  
  
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-**[[admin:​indexing:​text:​clob|Next]] ​+**[[admin:​indexing:​text:​clob|Next]]**
  
 ====== Additional Resources ====== ====== Additional Resources ======
 
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admin/indexing/text/home.1295911426.txt.gz · Last modified: 2016/06/28 22:38 (external edit)