Storing and/or retrieving a document within a knowledge base or document repository

• US 20040186824A1
• Filed: 03/17/2003
• Published: 09/23/2004
• Est. Priority Date: 03/17/2003
• Status: Active Grant

• Current Assignee: Hewlett Packard Enterprise Development LP (Hewlett-Packard Enterprise Company)
• Original Assignee: Hewlett-Packard Development Company, L.P. (HP Inc.)
• Inventors: Douillet, Laurent, Delic, Kemal
• Granted Patent: US 7,945,567 B2
• Time in Patent Office: Days
• US Class Current: 707/3
• CPC Class Codes: G06F 16/335 Filtering based on additional data, e.g. user or group profiles filtering in web context G06F16/9535, G06F16/9536
• CPC Class Codes: G06F 16/353 into predefined classes

Abstract

A document is stored in and retrieved from a repository being indexed by a search engine by applying to each document a first classification based on a profile of a user who is likely to access the repository. A query formulated by the user to the search engine results in the engine producing a list of references of documents. The list of references is reduced by eliminating from the lists the documents and references which do not correspond to the user'"'"'s profile. A second classification level, representative of the particular nature of the problem to which the document refers, is performed. Automatic tagging and labeling mechanisms improve the repository partitioning.

Claims

1. Process of storing and retrieving a document in a repository that is indexed by a search engine, said process comprising the steps of:

applying to each document a first classification based on the profile of a user who is likely to access the repository;

applying a query formulated by said user to said search engine;

producing a list of references of documents by said search engine in response to the query; and

reducing said list of references by eliminating from said list references which do not correspond to the user'"'"'s profile.

2. Process as claimed in claim 1 wherein the application of said first classification comprises counting the number of words in the document, determining whether the document contains an immediate solution to a problem in response to the counting step, and assigning a first category to said document in response to said determination.

3. Process as claimed in claim 1 wherein the applying step comprises counting of the number of lines contained in said documents.

4. Process as claimed in claim 1 wherein the applying step comprises determining the number of operating steps described in said document.

5. Process as claimed in claim 1 wherein the applying step comprises comparing words includes in the document with words extracted from a dictionary.

6. The process of claim 5 further including determining the number of concepts addressed by said documents in response to the comparing step.

7. Process as claimed in claim 1 wherein said first classification results in one of three tags being associated with the document, said tags comprising:

a first tag assigned to documents describing immediate action;

a second tag assigned to documents describing a short sequence of operating steps;

a third tag assigned to documents describing background technical description.

8. Process as claimed in claim 1 wherein said repository is a repository of problem solving documents and further comprising applying to each document a second classification which is representative of the subject matter of the document, and reducing the number of documents listed by the search engine in accordance with said first level and said second level classification.

9. Process as claimed in claim 7 wherein said second classification is based on the definition of K predetermined classes, each class being defined by a set of n keywords.

10. Process as claimed in claim 9 wherein each document is assigned at least one class by an automatic process comprising the steps of:

applying for each class a query based on a set of keywords extracted from a class definition file, said query being applied to said search engine;

producing a number of K lists of results, each list corresponding to one given class;

comparing for each document of said repository a ranking received in said K lists; and

determining a list among said K lists in which said document receives the highest ranking and correspondingly assigning the class corresponding to said particular list as the first class.

11. Process as claimed in claim 10, further including assigning each document to at least one of an optional second class and third class.

12. Arranging a help-desk software tool to access a document depository for first level agents, technicians and experts by using the process of claim 1.

24. A memory storing a computer program product comprising program code elements for carrying out a process as claimed in claim 1.

25. The process of claim 1 further including displaying said reduced list to said user.

13. A process of storing a document in a repository that is indexed by a search engine, said process comprising the step of:

applying to each document a first classification based on the profile of a user who is likely to access the repository.

14. Process as claimed in claim 13 wherein the application of said first classification comprises counting the number of words in the document, determining whether the document contains an immediate solution to a problem in response to the counting step, and assigning a first category to said document in response to said determination.

15. Process as claimed in claim 13 wherein the applying step comprises counting the number of lines contained in said documents.

16. Process as claimed in claim 13 wherein the applying step comprises determining the number of operating steps described in said document.

17. Process as claimed in claim 13 wherein the applying step comprises comparing words included in the document with words extracted from a dictionary.

19. Process as claimed in claim 13 wherein the first classification results in one of three tags being associated with the document, said tags comprising:

a first tag assigned to documents describing immediate action;

a second tag assigned to documents describing a short sequence of operating steps;

a third tag assigned to documents describing a background technical description.

20. Process as claimed in claim 13 wherein said repository is a repository of problem solving documents and further comprising applying to each document a second classification which is representative of the subject matter of the document.

21. Process as claimed in claim 20 wherein said second classification is based on the definition of K predetermined classes, each class being defined by a set of n keywords.

22. Process as claimed in claim 21 wherein each document is assigned at least one class by an automatic process comprising the steps of:

applying for each class a query based on a set of keywords extracted from a class definition file, said query being applied to said search engine;

producing a number of K lists of results, each list corresponding to one given class;

comparing for each document of said repository a particular ranking which is received in the said K lists; and

determining a list among said K lists in which said document receives the highest ranking and correspondingly assigning the class corresponding to said particular list as the first class.

23. Process as claimed in claim 22 further including assigning to each document at least one of an optional second class and third class.

32. A memory storing a computer program product comprising program code elements for carrying out a process as claimed in claim 13.

18. The process of claim 18 further including determining the number of concepts addressed by said documents in response to the comparing step.

26. Process of retrieving a document from a repository that is indexed by a search engine, said process comprising the steps of:

applying a query formulated by said user to said search engine;

producing a list of references of documents by said search engine in response to the query; and

reducing said list of references by eliminating from said list references which do not correspond to the user'"'"'s profile.

27. Process as claimed in claim 26 comprising reducing the number of documents listed by the search engine in accordance with said first level and a second level classification, the second classification being representative of the subject matter of the document.

28. A memory storing a computer program product comprising program code elements for carrying out a process as claimed in claim 26.

29. The process of claim 26 further including displaying said reduced list to said user.

30. A computer system for storing and retrieving a document in a repository that is adapted to be indexed by a search engine, said computer system being arranged for:

applying to each document a first classification based on the profile of a user who is likely to access the repository;

applying a query formulated by said user to said search engine;

causing the search engine to produce a list of references of documents in response to the query; and

reducing said list of references by eliminating from said list references which do not correspond to the user'"'"'s profile.

31. A computer system for retrieving a document from a repository that is adapted to be indexed by a search engine, said computer system being arranged for:

applying a query formulated by said user to said search engine;

causing said search engine to produce a list of references of documents in response to the query; and

reducing said list of references by eliminating from said list references which do not correspond to the user'"'"'s profile.

33. A computer system for storing a document in a repository that is indexed by a search engine, said computer system being arranged for applying to each document a classification based on the profile of a user who is likely to access the repository.