Spelling Error Tolerant Substring Implementation Details
Adds Spelling-error tolerance to 'subString' search. This makes use of the double metaphone indexed value as well as literal property values.
Algorithm:
The Spelling Error Tolerant Substring search has the following characteristics:
- This search is case in-sensitive.
- It searches on the double metaphone property value and literal property value.
- The literal property part (without the wild cards) of the query is boosted by .5. This gives a literal match priority.
Parsing is done with the following analyzers:
dm_propertyValue - Uses our custom double metaphone analyzer. This has the following filters:
- LowerCaseFilter - for setting to lowercase
- StopFilter - to remove stop words (the, a, etc.) from the search
- DoubleMetaphoneFilter - for testing double metaphone sounds
- LowerCaseFilter - for setting to lowercase
literal_propertyValue - Uses our custom literal analyzer. This literal analyzer uses Lucene's WhitespaceTokenizer with Lucene's LowerCaseFilter.
Example of use:
The following examples are based on the Automobiles coding scheme.
Example 1:
Search string: car
Lucene query: dm_propertyValue:"KR" literal_propertyValue:"car"^0.5
Result: 2 results
- Result 1
- entity code: C0001
- entity description: Car
- Result 2
- entity code: C0002
- entity description: Kar
Example 2:
Search string: General Motors
Lucene query: dm_propertyValue:"JNRL KNRL MTRS" literal_propertyValue:"general motors"^0.5
Result: 1 result
- entity code: GM
- entity description: General Motors
Associated JUnits:
Junits can be found here: https://github.com/lexevs/lexevs/blob/master/lbTest/src/test/java/org/LexGrid/LexBIG/Impl/function/query/lucene/searchAlgorithms/TestSpellingErrorTolerantSubString.java