Fuzzy Searches
Use Fuzzy searches to find variations of a term, including the ones that were not recognized correctly during the conversion by the OCR engine. You can choose from 4 fuzzy degrees (the degree of closeness to your query). Fuzzy degree 2 is recommended for normal text searches. This provides for mistakes such as broken and joined characters. Use Fuzzy degree 3 or 4 only if you are searching for long terms. If multiple terms are used in the query, fuzzy will work on each term separately.
You can use four integer values (1, 2, 3, 4) or floating numbers in the range from 0 to 1 (0,1, 0,2).
The fuzzy algorithm is based on the Levenshtein distance: http://en.wikipedia.org/wiki/Levenshtein_distance
|
Example query |
Fuzzy degree |
Results |
|---|---|---|
|
computer |
0 |
computer, c-omputer, computer- email, e-mail |
|
computer~1 |
1 |
computer, c-omputer, computer-, commuter, compute, computter, compoter, etc |
|
computer~2 |
2 |
computer, c-omputer, computer-, commuter, compute, computter, compoter, computw, cumpoter, etc |
|
computer~3 |
3 |
computer, c-omputer, computer-, commuter, compute, computter, compoter, computw, cumpoter, ounputer, ccnpoter, chapter, etc |
|
computer~4 |
4 |
computer, c-omputer, computer-, commuter, compute, computter, compoter, computw, cumpoter, ounputer, ccnpoter, chapter, colour, charter, ocnputter, etc |
|
computer~0,5 |
0,5 |
computer, c-omputer, computer-, commuter, compute, computter, compoter, computw, cumpoter, ounputer, ccnpoter, chapter, colour, charter, ocnputter, combined, complete, complex, compared, center, footer, copied, collate, cope, matter, etc
Note: If a floating number is not accepted, try a higher number or a longer term. |
|
"232"~1 |
1 |
232 230, 231, 233, 234, 235, 236, 237, 238, 239 202, 212, 222, 242, etc. 032, 132, 332, 432, etc. 22, 23, 32 22-4-1999 |