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Innovation award
 Nominee: 3x
Winner: 1x |
This class can index text for performing fuzzy search.
It can process a list of text strings and build a database that indexes snippets of those strings and the locations where they appear.
The class can also search for given keywords and returns the locations of the indexed strings where the best matching text appears.
It uses SQLite to store the indexed text database, but the class can be extended to use a different database type.
It uses certain heuristics to extract the snippets from the indexed text. These heuristics are implemented as separate classes that can be used interchangeably.
 June 2012
Winner
Prize: One copy of the Zend Studio |
Searching for text in a large documents is not a trivial text.
To make it useful it needs to be fast and take in account that search words may be misspelled and they may not appear contiguously in the document being searched.
This class addresses the challenges of searching large text documents. It builds a database that indexes the documents in a way that is fast to search and locate the text snippets that contain the words that the user is looking for.
Manuel Lemos |
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