Query Correction Using Indexed Content on a Desktop Indexer Program

• US 20070208733A1
• Filed: 02/22/2007
• Published: 09/06/2007
• Est. Priority Date: 02/22/2006
• Status: Abandoned Application

• Current Assignee: Copernic Technologies, Inc. (Constellation Software Incorporated)
• Original Assignee: Copernic Technologies, Inc. (Constellation Software Incorporated)
• Inventors: Brault, Frederick
• Application Number:
  US11/677,757
• Publication Number:
  US 20070208733A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/148 File search processing
• CPC Class Codes: G06F 16/2425 Iterative querying; Query formulation based on the results of a preceding query
• CPC Class Codes: G06F 16/3322 using system suggestions G06F16/3325 takes precedence
• CPC Class Codes: G06F 16/90324 using system suggestions

Abstract

Apparatus and methods useful for desktop searching are disclosed. According to one embodiment of the invention, for each query, the system evaluates if similar ones would give more results. If so, the system suggests the user with one or several similar queries. Similar queries are based on indexed content so corrections conduct to (that is, lead to) at least one result. According to another embodiment of the invention, for each keyword of the query the system computes a similarity value for a subset of all keywords of the index database. The subset is composed of all keywords minus the ones too short and too lengthy to be similar. Therefore, each keyword from the query gets a list of similar indexed keywords. According to yet another embodiment of the invention, the system replaces each query keyword, one after another, by a member of its similarity list until all combinations of substitutions are listed. The number of results for each similar query is calculated. Corrected queries giving significantly more results than the original query are suggested to the user.

Claims

1. A computerized method of searching computer files, comprising:

applying a query to a database of indexed keywords extracted from computer files, the query including a query keyword;

obtaining, by said application of the query, a query result score representative of the number of computer files associated with indexed keywords that satisfy the query;

identifying a similarity list from the database of indexed keywords, the similarity list including a similar indexed keyword that is similar to the query keyword;

substituting the similar indexed keyword for the query keyword in the query to create a similar query;

applying the similar query to the indexed keyword database to obtain a similar query result score representative of the number of computer files associated with indexed keywords that satisfy the similar query; and

suggesting the similar query to a user if the similar query result score exceeds a threshold score.

2. The method of claim 1, further comprising receiving the query from a user of a device selected from the group consisting of:

personal computer, workstation, desktop computer, handheld computer, personal digital assistant, music player.

3. The method of claim 1, wherein the computer files comprise files selected from the group consisting of:

word processing files, “

pdf”

files, e-mail files, music files, picture files, video files, executable files, data files, configuration files, operating system files, folder information, and metadata.

4. The method of claim 1, further comprising indexing computer files to create the database of indexed keywords.

5. The method of claim 1, wherein the indexed keywords comprise file names, directory names, metadata, and the content of computer files.

6. The method of claim 1, wherein the step of identifying the similarity list comprises:

determining a similarity value for an indexed keyword stored in the database of indexed keywords; and

treating the indexed keyword as the similar indexed keyword if the similarity value exceeds a threshold similarity value.

7. The method of claim 6, wherein the similarity value is determined based on an edit distance between the indexed keyword and the query keyword, the edit distance based at least on a measure of deleted characters, inserted characters, substituted characters, and swapped characters.

8. The method of claim 1, wherein the step of identifying the similarity list comprises:

defining a subset of indexed keywords from the database of indexed keywords based on the query keyword;

determining a similarity value for an indexed keyword in the subset of indexed keywords; and

treating the indexed keyword as the similar indexed keyword if the similarity value exceeds a threshold similarity value.

9. The method of claim 8, wherein the subset of indexed keywords is defined to exclude indexed keywords based on at least one of indexed keyword length and indexed keyword beginning character.

10. The method of claim 1, wherein the step of identifying the similarity list comprises:

defining a subset of indexed keywords from the database of indexed keywords based on the query keyword;

in a first step, determining a similarity value for each indexed keyword in the subset of indexed keywords, if any, that has a length identical to the query keyword;

if the first step results in no similar indexed keywords, in a second step determining a similarity value for each indexed keyword in the subset of indexed keywords, if any, differing in length from the query keyword by one character;

if the second step results result in no similar indexed keywords, in a third step determining a similarity value for each indexed keyword in the subset of indexed keywords, if any, differing in length from the query keyword by two characters.

11. The method of claim 1, further comprising sorting the similarity list by frequency of occurrence in the indexed keyword database.

12. The method of claim 1, wherein the threshold score is based on the query result score.

13. A computerized method of searching computer files, comprising:

applying a query to a database of indexed keywords extracted from computer files, the query including one or more query keywords;

obtaining, by said application of the query, a query result score representative of the number of computer files associated with indexed keywords that satisfy the query;

for each query keyword, creating a similarity list from the database of indexed keywords, the similarity list including one or more similar indexed keywords, each similar indexed keyword being similar to the query keyword;

repeatedly replacing each query keyword with each of the similar indexed keywords in the similarity list associated therewith until all combinations of query keywords and similar indexed keywords in the query have been exhausted, each combination representing a similar query;

applying each similar query to the indexed keyword database to obtain, for each similar query, a similar query result score representative of the number of computer files associated with indexed keywords that satisfy the similar query; and

suggesting to a user each similar query having a similar query result score that exceeds a threshold score.

14. The method of claim 13, further comprising indexing computer files to create the database of indexed keywords.

15. The method of claim 13, wherein the step of creating comprises:

defining a subset of indexed keywords from the database of indexed keywords based on the query keyword;

determining a similarity value for each indexed keyword in the subset of indexed keywords; and

treating each indexed keyword in the subset of indexed keywords as one of the one or more similar indexed keywords based on the similarity value for the indexed keyword.

16. The method of claim 15, wherein the step of determining a similarity value comprises:

in a first step, determining a similarity value for each indexed keyword in the subset of indexed keywords, if any, that has a length identical to the query keyword;

if the first step results in no similar indexed keywords, in a second step determining a similarity value for each indexed keyword in the subset of indexed keywords, if any, differing in length from the query keyword by one character;

if the second step results result in no similar indexed keywords, in a third step determining a similarity value for each indexed keyword in the subset of indexed keywords, if any, differing in length from the query keyword by two characters.

17. The method of claim 15, wherein the similarity value is determined based on an edit distance between the indexed keyword and the query keyword, the edit distance including measurement of deleted characters, inserted characters, substituted characters, and swapped characters.

18. The method of claim 15, wherein the similarity value is determined according to the algorithm:

edit(m,n)=min[edit(m-1, n)+Deletion cost, edit(m, n-1)+Insertion cost, edit(m-1, n-1)+Substitution cost, edit(m-1, n-1)+Swap cost], where m and n are the lengths of two strings s and t, Deletion cost, Insertion cost, Substitution cost, and Swap cost are predefined values, and edit() is an edit distance algorithm.

19. The method of claim 13, further comprising:

sorting the one or more similar indexed keywords in each similarity list by frequency of

occurrence in the indexed keyword database, wherein, for each query keyword, the step of repeatedly replacing begins by substituting the similar indexed keyword having the highest frequency of occurrence in the indexed keyword database and proceeds in order of decreasing frequency of occurrence in the indexed keyword database only until the resulting similar query has a similar query result score below the threshold score.

20. The method of claim 19, wherein the threshold score is based on the query result score.

21. The method of claim 13, wherein the threshold score is based on the query result score.

22. A method of query correction for desktop searching, comprising:

indexing content to create a database of indexed keywords, the content including computer files;

applying a query to the database of indexed keywords, the query including a query keyword;

obtaining, by said application of the query, a first list of computer files associated with indexed keywords that satisfy the query;

identifying a similarity list from the database of indexed keywords, the similarity list including a similar indexed keyword similar to the query keyword;

replacing the similar indexed keyword for the query keyword in the query to create a similar query;

applying the similar query to the indexed keyword database to obtain a second list of computer files associated with indexed keywords that satisfy the similar query; and

suggesting the similar query to a user if the number of computer files on the second list exceeds a threshold number.

23. The method of claim 22, wherein the content is local content residing on a personal computer.

24. The method of claim 22, further comprising storing the indexed keyword database on a personal computer, wherein the content is network content.

25. The method of claim 22, wherein the indexed keywords comprise file names, directory names, metadata, and data in documents.

26. The method of claim 22, wherein the step of indexing comprises:

crawling computer files;

extracting keywords from computer files for storage in the indexed keyword database.

27. The method of claim 22, wherein the step of identifying the similarity list comprises:

determining a similarity value for an indexed keyword; and

treating the indexed keyword as the similar indexed keyword if the similarity value exceeds a threshold similarity value.

28. The method of claim 22, wherein the step of identifying the similarity list comprises:

defining a subset of indexed keywords from the database of indexed keywords based on the query keyword;

determining a similarity value for an indexed keyword in the subset of indexed keywords;

treating the indexed keyword as the similar indexed keyword if the similarity value exceeds a threshold similarity value.

29. The method of claim 28, wherein the subset of indexed keywords is defined to exclude indexed keywords based on at least one of indexed keyword length and indexed keyword beginning character.

30. The method of claim 22, wherein the step of identifying the similarity list comprises:

defining a subset of indexed keywords from the database of indexed keywords based on the query keyword;

in a first step, determining a similarity value for each indexed keyword in the subset of indexed keywords, if any, that has a length identical to the query keyword;

if the first step results in no similar indexed keywords, in a second step determining a similarity value for each indexed keyword in the subset of indexed keywords, if any, differing in length from the query keyword by one character;

if the second step results in no similar indexed keywords, in a third step determining a similarity value for each indexed keyword in the subset of indexed keywords, if any, differing in length from the query keyword by two characters.

31. The method of claim 22, wherein the threshold number is based on the number of computer files on the first list.