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admin:indexing:text:home [2011/01/25 04:18]
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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|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:​advanced|Advanced Searches]] |
 [[admin:​indexing:​text:​results|Displaying Results]] |  [[admin:​indexing:​text:​results|Displaying Results]] | 
 [[admin:​indexing:​text:​relevancy|Relevancy]] [[admin:​indexing:​text:​relevancy|Relevancy]]
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 ==== Overview ==== ==== 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]] ​index parses ​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.  ​When working with larger blocks of text, more powerful indexing is needed.+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.
  
-Omnidex Text provides ​the ability to query large amounts of textual data in a database.  Omnidex Text also allows a table to reference external text files, and allows them to be indexed as part of the database. ​ This feature is well suited for large textual fields, such as articles, ​knowledgebases, forums, lengthy product descriptions and so forth.  ​+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 searches ​textual ​data in a databasebut it is not designed to search external documents.  ​At presentOmnidex Text only indexes textual data and does not index Microsoft WordPDF, HTML or XML files +Omnidex Text works seamlessly with the rest of Omnidex and allows large textual ​fields to be searched alongside regular columns ​in standard SQL statementsusing standard ODBC and JDBC interfaces.  ​Queries can issue traditional queries with criteriatable joins, aggregations ​and orderingwhile at the same time querying large blocks of text.
  
-Omnidex Text allows large textual fields ​to be searched alongside regular columns as well.  Omnidex ​SQL statements perform complex, multi-table searches, using advanced ​textual features ​for the textual areas, and using standard SQL for the non-textual areas.+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 misspellingsword forms and synonyms.
  
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-Omnidex Text provides the ability to search large collections of textual data.  ​ 
  
  
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-**[[admin:​indexing:​text:​clob|Next]]** ​+**[[admin:​indexing:​text:​clob|Next]]**
  
 ====== Additional Resources ====== ====== Additional Resources ======
 
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