System and method for document analysis, processing and information extraction

• US 20060155751A1
• Filed: 09/19/2005
• Published: 07/13/2006
• Est. Priority Date: 06/23/2004
• Status: Abandoned Application

• Current Assignee: Plain Sight Systems Incorporated (Water Intelligence Plc)
• Original Assignee: Plain Sight Systems Incorporated (Water Intelligence Plc)
• Inventors: Gimbutas, Zydrunas, Doery, Marya R., Black, Nicholas, Fateley, William G., Geshwind, Frank, Coppi, Andreas C.
• Application Number:
  US11/230,949
• Publication Number:
  US 20060155751A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/3322 using system suggestions G06F16/3325 takes precedence
• CPC Class Codes: G06F 16/3338 Query expansion
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques

Abstract

A method and system for retrieving information in response to an information retrieval request comprises extracting additional information from a first corpus of data elements based on the request. The request is modified based on the additional information to refine the scope of information to be retrieved from a second corpus of data elements. The information is retrieved from the second corpus of data elements based on the modified request.

Claims

1. A method of retrieving information in response to an information retrieval request, comprising the steps of:

extracting additional information from a first corpus of data elements based on said request;

modifying said request based on said additional information to refine the scope of information to be retrieved from a second corpus of data elements; and

retrieving information from said second corpus of data elements based on said modified request.

2. The method of claim 1, further comprising the step of forming said first corpus of data elements based on one or more predetermined topics.

3. The method of claim 1, further comprising the step of forming said first corpus of data elements based on a predetermined target audience.

4. The method of claim 2, wherein said first corpus of data elements comprises text documents representative of said one or more predetermined topics;

and wherein the step of extracting comprises the step of extracting said text documents based on said request.

5. The method of claim 1, wherein said request comprises a full text search query;

and wherein the step of extracting comprises the step of extracting additional information from said first corpus of data elements based on said full text search query.

6. The method of claim 1, wherein said data elements comprises at least audio signals or playlists;

and wherein step of retrieving comprises the step of providing a list of recommended songs or music.

7. The method of claim 1, wherein said data elements comprises web pages;

and wherein step of retrieving comprises the step of retrieving web pages based on said modified request.

8. The method of claim 1, wherein the step of extracting comprises the step of determining diffusion geometry coordinates of one or more data elements of said first corpus based on said request.

9. The method of claim 1, further comprising the steps of receiving user feedback on the relevance of returned results and refining either the step of extracting or modifying based on said user feedback.

10. The method of claim 1, wherein said additional information comprises keywords or phrases;

and wherein the step of modifying comprises the step of modifying said request based on a logical conjunction of said request and a local disjunction of said keywords or phrases.

11. The method of claim 1, wherein said additional information comprises keywords or phrases;

and wherein the step of modifying comprises the step of modifying said request based on a logical conjunction of said request and a local disjunction of additional logical conjunctions, wherein said additional logical conjunctions correspond to subsets of said keywords or phrases that are correlated according to said additional information.

12. The method of claim 1, wherein said request relates to content of a document or meta-document;

and wherein said first corpus of data elements comprises text documents relating to a listing; and

further comprising the step of influencing a position, presence or placement of said listing within an advertising section of a rendering of said document or meta-document on a computer network.

13. The method of claim 12, wherein said document comprises a search result list;

and wherein the step of extracting comprises the step of extracting additional information from said first corpus of data elements based on said search result list.

14. The method of claim 12, wherein said text documents relating to said listing comprises a product description;

and wherein the step of extracting comprises the step of extracting product information from said first corpus of data elements.

15. The method of claim 12, wherein the step of influencing comprises the step of influencing said position, presence or placement of said listing within said advertising section based on bidding information.

16. The method of claim 12, wherein the step of influencing comprises the step of influencing said position, presence or placement of said listing within said advertising section based on customer purchase patterns.

17. The method of claim 2, further comprising the step of searching within one or more domains by an Internet search engine, said one or more domains being define by said one or more predetermined topics.

18. A method of influencing traffic between predetermined web pages, comprising the steps of:

determining diffusion geometry coordinates of a set of web pages, said set of web pages comprising at least one of said predetermined web pages; and

determining links between said web pages based on said diffusion geometry coordinates.

19. The method of claim 18, further comprising the step of adding said links between said web pages based on said diffusion geometry coordinates.

20. The method of claim 18, further comprising the step of displaying said links in a web browser.

21. A computer readable medium comprising code for retrieving information in response to an information retrieval request, said code comprising instructions for:

extracting additional information from a first corpus of data elements based on said request;

modifying said request based on said additional information to refine the scope of information to be retrieved from a second corpus of data elements; and

retrieving information from said second corpus of data elements based on said modified request.

22. The computer readable medium of claim 21, wherein said additional information comprises keywords or phrases;

and wherein said code further comprising instructions for modifying said request based on a logical conjunction of said request and a local disjunction of said keywords or phrases.

23. A computer readable medium comprising code for influencing traffic between predetermined web pages, said code comprising instructions for:

determining diffusion geometry coordinates of a set of web pages, said set of web pages comprising at least one of said predetermined web pages; and

determining links between said web pages based on said diffusion geometry coordinates.

24. A system for retrieving information in response to an information retrieval request, comprising:

an extracting module for extracting additional information from a first corpus of data elements based on said request;

a processing module for modifying said request based on said additional information to refine the scope of information to be retrieved from a second corpus of data elements; and

a retrieving module for retrieving information from said second corpus of data elements based on said modified request.

25. The system of claim 24, wherein said processing module is operable to form said first corpus of data elements based on one or more predetermined topics.

26. The system of claim 24, wherein said processing module is operable to form said first corpus of data elements based on a predetermined target audience.

27. The system of claim 25, wherein said first corpus of data elements comprises text documents representative of said one or more predetermined topics.

28. The system of claim 24, wherein said request comprises a full text search query.

29. The system of claim 24, wherein said data elements comprises at least audio signals or playlists;

and wherein said retrieving module is operable to provide a list of recommended songs or music.

30. The system of claim 24, wherein said data elements comprises web pages;

and wherein said retrieving module is operable to retrieve web pages based on said modified request.

31. The system of claim 24, wherein said extracting module is operable to determine diffusion geometry coordinates of one or more data elements of said first corpus based on said request.

32. The system of claim 24, further comprising a receiving module for receiving user feedback on the relevance of returned results and wherein said processing module is operable modify or to control said extracting module based on said user feedback.

33. The system of claim 24, wherein said additional information comprises keywords or phrases;

and wherein said processing module is operable to modify said request based on a logical conjunction of said request and a local disjunction of said keywords or phrases.

34. The system of claim 24, wherein said additional information comprises keywords or phrases;

and wherein said processing module is operable to modify said request based on a logical conjunction of said request and a local disjunction of additional logical conjunctions, wherein said additional logical conjunctions correspond to subsets of said keywords or phrases that are correlated according to said additional information.

35. The system of claim 24, wherein said request relates to content of a document or meta-document;

wherein said first corpus of data elements comprises text documents relating to a listing; and

wherein said processing module is operable to influence a position, presence or placement of said listing within an advertising section of a rendering of said document or meta-document on a computer network.

36. The system of claim 35, wherein said document comprises a search result list;

and wherein said extracting module is operable to extract additional information from said first corpus of data elements based on said search result list.

37. The system of claim 35, wherein said text documents relating to said listing comprises a product description;

and wherein said extracting module is operable to extract product information from said first corpus of data elements.

38. The system of claim 35, wherein said processing module is operable to influence said position, presence or placement of said listing within said advertising section based on bidding information.

39. The system of claim 35, wherein said processing module is operable to influence said position, presence or placement of said listing within said advertising section based on customer purchase patterns.

40. The system of claim 25, further comprising an Internet search engine for searching within one or more domains, said one or more domains being define by said one or more predetermined topics.

41. A system for influencing traffic between predetermined web pages, comprising a processing module for determining diffusion geometry coordinates of a set of web pages, said set of web pages comprising at least one of said predetermined web pages;

and determining links between said web pages based on said diffusion geometry coordinates.

42. The system of claim 41, wherein said processing module is operable to add said links between said web pages based on said diffusion geometry coordinates.

43. The system of claim 41, wherein said processing module is operable to display said links in a web browser.