Query Keywords

Search string can be a sequence of keywords, each keyword is separated by one or more blank space.The operator And/Or is used to compose keyword into search condition of your query. For example, if you enter parallel system and choose And (by default), the query will search for all documents containing both parallel and system.

The following wildcards can be used to compose your keyword:

  1. A percentage sign % matches zero or more characters. E.g.: 'e%ment' matches 'element','employment','environment','equipment'.
  2. An underscore _ matches exactly one character. E.g.: '_ook' matches 'book','cook','look'.

All keywords will be treated as case-insensitive.

Max Hits defines the maximum number of query results to be returned.

Word Searching

Word search options allow the keyword(s) you entered to be extended.

Forward Stemming

This is the same as a string with a terminating wildcard %. E.g.: 'implement' will be stemmed to 'implement','implementation','implementation'.

Reverse Stemming

This is the same as a string with an initial wildcard %. E.g.: 'ement' will be stemmed to 'element','implement','improvement','management'.

Forward and Reverse Stemming

This is the same as a string with both initial and terminating wildcards (%). E.g.: 'ement' will be stemmed to 'implement','implementation','implementation','element','implement','improvement','management'.

Fuzzy Match

This is designed to pick out typical data input errors such as mistypes and phonetical misspellings. It will then perform the search on the 6 closest matched words. E.g.: 'Smith' will be expanded to 'Smit','Smiths','Smooth',...

Soundex Expansion

This option attemps to match words for which you do not know the correct spelling, words that have been entered into the database with incorrect spelling.

Concept Searching

Based on a thesaurus, options in this concept search expand each specified word according to its existance in the thesaurus hierarchy.

Fuzzy and Stemming Search

This option will first perform forward and reverse stemming on each word, and then do a fuzzy match for each word stemmed.