Integrated search and information discovery system

• US 20030084035A1
• Filed: 07/22/2002
• Published: 05/01/2003
• Est. Priority Date: 07/23/2001
• Status: Abandoned Application

• Current Assignee: Snowtide Informatics Systems, Inc.
• Original Assignee: Snowtide Informatics Systems, Inc.
• Inventors: Emerick, Charles L. III
• Application Number:
  US10/200,608
• Publication Number:
  US 20030084035A1
• Time in Patent Office: Days
• US Class Current: 707/3
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: G06F 16/9532 Query formulation
• CPC Class Codes: G06F 16/9538 Presentation of query results

Abstract

An integrated search and information discovery system is disclosed. The simultaneous and integrated access to a dynamic plurality of arbitrary search services and data stores is enabled, relieving users of such services and stores from the time-consuming task of accessing them individually or in otherwise inefficient manners. Further, a user-oriented derivative of the common webcrawling process is introduced and utilized to discover information not held in or indexed by the accessed search services and data stores using content and links delivered by those search services and data stores in response to an integrated user query. Finally, a modular information analysis framework is utilized to allow for the use of a plurality of information analysis methods depending on the needs of a user.

Claims

1. A method and system for searching for information, comprising the steps of:

(a) submitting a user query to a computing device, such user query containing a set of search terms and a selection from a set of search services and data stores to be accessed in accordance with said user query via any combination of a plurality of storage and information retrieval systems and networks;

(b) translating said user query such that one or more translations of the user query are produced that can be understood and processed by the selected search services and data stores;

(c) transmitting the translated user queries to the selected search services and data stores; and

(d) retrieving the output from the selected search services and data stores generated in response to the transmission of the translated user queries.

2. A method and system as in claim 1, wherein the output retrieved from the selected search services and data stores is analyzed in accordance with the search terms included in the user query, thereby qualifying or disqualifying said output with regard to the user query.

3. A method and system as in claim 1, wherein the output retrieved from the selected search services and data stores is displayed for user examination and use.

4. A method and system as in claim 2, wherein the results of the analysis of search service and data store output are displayed for user examination and use.

5. A method and system as in claim 1, wherein said storage and information retrieval systems and networks may include but are not limited to:

the World Wide Web and its associated protocols, Usenet newsgroups, private intranets, Virtual Private Networks, distributed file-sharing networks, a user'"'"'s local computer system'"'"'s storage devices, cellular or other wireless carrier networks, and direct database connections.

6. A method and system as in claim 3, wherein the output or displayed information is formatted using markup or display languages, including but not limited to SGML, XML, HTML, PDF, Postscript, Display Postscript, or any derivatives thereof.

7. A method and system as in claim 3, wherein a user may perform sub-queries on the form and content of any output or displayed information.

8. A method and system as in claim 4, wherein the output or displayed information is formatted using markup or display languages, including but not limited to SGML, XML, HTML, PDF, Postscript, Display Postscript, or any derivatives thereof.

9. A method and system as in claim 4, wherein a user may perform sub-queries on the form and content of any output or displayed information.

10. A method and system as in claim 3, wherein a user may perform sub-queries on the form and content of any output or displayed information.

11. A method and system as in claim 4, wherein a user may perform sub-queries on the form and content of any output or displayed information.

12. A method and system as in claim 1, wherein a selection from the set of threaded network architectures and intelligent autonomous software agents is used to parallelize the processing of each user query.

13. A method and system as in claim 3, wherein the communication channels that may be used in the presentation of said output or displayed information may include but are not limited to:

through a web browser;

within a window or set of windows in a desktop computer environment;

via printed matter;

via email or other electronic messaging;

via textual output in a terminal or terminal window;

via image representation;

via telephone, telegraph, or teletype;

or via verbal communication.

14. A method and system as in claim 4, wherein the communication channels that may be used in the presentation of said output or displayed information may include but are not limited to:

through a web browser;

within a window or set of windows in a desktop computer environment;

via printed matter;

via email or other electronic messaging;

via textual output in a terminal or terminal window;

via image representation;

via telephone, telegraph, or teletype;

or via verbal communication.

15. A method and system as in claim 1, wherein said storage and information retrieval systems and networks may include but are not limited to:

the World Wide Web and its associated protocols, Usenet newsgroups, private intranets, Virtual Private Networks, distributed file-sharing networks, a user'"'"'s local computer system'"'"'s storage devices, cellular or other wireless carrier networks, and direct database connections.

16. A method and system as in claim 1, wherein “

search services and data stores”

may be a plurality of types of information services, including but not limited to;

web-based search engines;

paid-for or subscription search engines or libraries;

web-enabled databases;

databases requiring direct connections not involving web protocols;

indexes or file directories stored on a user'"'"'s local computer system;

or indexes or file directories accessible via a network.

17. A method and system as in claim 1, wherein a user may add to, configure, or update the process used to translate a user query into a set of translated user queries appropriate for the set of selected search services and data stores.

18. A method and system as in claim 17, wherein the parameters and properties that fully describe the operation of the query translation process may be stored and retrieved between queries.

19. A method and system as in claim 17, wherein a user may modify the query translation process so that it may be used to translate future user queries for submission to new search services or data stores.

20. A method and system as in claim 19, wherein a user may select for inclusion in a user query any of the new search services or data stores.

21. A method and system as in claim 18, wherein the parameters and properties of the query translation process are stored within a selection from the group of plug-in software components and the content of configuration files.

22. A method and system as in claim 18, wherein the parameters and properties of the query translation process may be automatically retrieved, distributed, and stored based on a master set of parameters and properties.

23. A method and system as in claim 2, wherein the analysis of content and meta-data may be customized and extended whereby a user may directly or indirectly control the nature of said analysis.

24. A method and system as in claim 23, wherein the methods by which the properties and parameters of said analysis may be described include but are not limited to:

user-supplied data, plug-in software components, and the content of configuration files.

25. A method and system as in claim 23, wherein the methods by which said analysis may be customized are publicly known such that persons not associated or affiliated with a vendor of an embodiment of the method and system may independently develop and distribute customized analysis processes.

26. A method and system as in claim 2, wherein the analysis of content and meta-data is capable of determining what additional types of content are linked to or embedded within said content and meta-data.

27. A method and system as in claim 26, wherein the user query includes parameters indicating which types of content should be targeted within said analysis of content and meta-data.

28. A method and system as in claim 26, wherein a user may define new types of content that may be identified in said analysis of content and meta-data, the ways in which that definition may be accomplished include but are not limited to:

specifying the file extension(s) associated with the new types;

specifying the meta-data typically associated with the new types;

or providing examples of the new types of content so that identifying characteristics of the new types of content may be automatically determined, stored, and utilized.

29. A method and system for searching for information, comprising the steps of:

(a) submitting a user query to a computing device, such user query containing a set of search terms, a set of seed addresses, and a set of parameters defining the control of the localized webcrawling process;

(b) retrieving the content and meta-data associated with the said seed addresses via any combination of a plurality of storage and information retrieval systems and networks;

(c) analyzing said content and meta-data in accordance with the search terms included in the said user query, thereby qualifying or disqualifying said content and meta-data with regard to the user query;

(d) creating a new set of seed addresses from links extracted from the set of qualified content and meta-data; and

(e) repeating steps (b) through (d) with said new seed addresses to the extent allowed by the localized webcrawling parameters specified in the user query.

30. A method and system as in claim 29, wherein the determination in step (e) of whether to repeat steps (b) through (d) is interactively made by a user.

31. A method and system as in claim 29, wherein the results of the analysis of content and meta-data in step (c) are displayed for user examination and use.

32. A method and system as in claim 31, wherein the output or displayed information is formatted using markup or display languages, including but not limited to SGML, XML, HTML, PDF, Postscript, Display Postscript, or any derivatives thereof.

33. A method and system as in claim 31, wherein a user may perform sub-queries on the form and content of any output or displayed information.

34. A method and system as in claim 29, wherein a selection from the set of threaded network architectures and intelligent autonomous software agents is used to parallelize the processing of each user query.

35. A method and system as in claim 31, wherein the communication channels that may be used in the presentation of said output or displayed information may include but are not limited to:

through a web browser;

within a window or set of windows in a desktop computer environment;

via printed matter;

via email or other electronic messaging;

via textual output in a terminal or terminal window;

via image representation;

via telephone, telegraph, or teletype;

or via verbal communication.

36. A method and system as in claim 29, wherein said storage and information retrieval systems and networks may include but are not limited to:

the World Wide Web and its associated protocols, Usenet newsgroups, private intranets, Virtual Private Networks, distributed file-sharing networks, a user'"'"'s local computer system'"'"'s storage devices, cellular or other wireless carrier networks, and direct database connections.

37. A method and system as in claim 29, wherein “

search services and data stores”

may be a plurality of types of information services, including but not limited to;

web-based search engines;

paid-for or subscription search engines or libraries;

web-enabled databases;

databases requiring direct connections not involving web protocols;

indexes or file directories stored on a user'"'"'s local computer system;

or indexes or file directories accessible via a network.

38. A method and system as in claim 29, wherein the user query submitted in step (a) may explicitly include a set of seed addresses, which are added to the set of seed addresses created in step (d).

39. A method and system as in claim 29, wherein a user may add to, configure, or update the process used to translate a user query into a set of translated user queries appropriate for the set of selected search services and data stores.

40. A method and system as in claim 39, wherein the parameters and properties that fully describe the operation of the query translation process may be stored and retrieved between queries.

41. A method and system as in claim 39, wherein a user may modify the query translation process so that it may be used to translate future user queries for submission to new search services or data stores.

42. A method and system as in claim 41, wherein a user may select for inclusion in a user query any of the new search services or data stores.

43. A method and system as in claim 40, wherein the parameters and properties of the query translation process are stored within a selection from the group of plug-in software components and the content of configuration files.

44. A method and system as in claim 40, wherein the parameters and properties of the query translation process may be automatically retrieved, distributed, and stored based on a master set of parameters and properties.

45. A method and system as in claim 29, wherein the analysis of content and meta-data may be customized and extended whereby a user may directly or indirectly control the nature of said analysis.

46. A method and system as in claim 45, wherein the methods by which the properties and parameters of said analysis may be described include but are not limited to:

user-supplied data, plug-in software components, and the content of configuration files.

47. A method and system as in claim 45, wherein the methods by which said analysis may be customized are publicly known such that persons not associated or affiliated with a vendor of an embodiment of the method and system may independently develop and distribute customized analysis processes.

48. A method and system as in claim 29, wherein the analysis of content and meta-data is capable of determining what additional types of content are linked to or embedded within said content and meta-data.

49. A method and system as in claim 48, wherein the user query includes parameters indicating which types of content should be targeted within said analysis of content and meta-data.

50. A method and system as in claim 48, wherein a user may define new types of content that may be identified in said analysis of content and meta-data, the ways in which that definition may be accomplished include but are not limited to:

specifying the file extension(s) associated with the new types;

specifying the meta-data typically associated with the new types;

or providing examples of the new types of content so that identifying characteristics of the new types of content may be automatically determined, stored, and utilized.

51. A method and system for searching for information, comprising the steps of:

(a) submitting a user query to a computing device, such user query containing a set of search terms, a selection of a set of search services and data stores to be accessed in accordance with such user query via any combination of a plurality of storage and information retrieval systems and networks, and a set of parameters defining the control of the localized webcrawling process;

(b) translating said user query such that one or more translations of the user query are produced that can be understood and processed by the selected search services and data stores;

(c) transmitting the translated user queries to the selected search services and data stores;

(d) retrieving the output from the selected search services and data stores generated in response to the transmission of the translated user queries.

(e) creating a new set of seed addresses from links extracted from the output of the selected search services and data stores;

(f) retrieving the content and meta-data associated with the said seed addresses via any combination of a plurality of storage and information retrieval systems and networks;

(g) analyzing said content and meta-data with regard to the search terms included in the said user query, thereby qualifying or disqualifying said content and meta-data with regard to the user query;

(h) creating a new set of seed addresses from links extracted from the set of qualified content and meta-data; and

(i) repeating steps (f) through (h) with said new seed addresses to the extent allowed by the localized webcrawling parameters specified in the user query.

52. A method and system as in claim 51, wherein the determination in step (i) of whether to repeat steps (f) through (h) is interactively made by a user.

53. A method and system as in claim 51, wherein the results of the analysis of content and meta-data in step (g) are displayed for user examination and use.

54. A method and system as in claim 53, wherein the output or displayed information is formatted using markup or display languages, including but not limited to SGML, XML, HTML, PDF, Postscript, Display Postscript, or any derivatives thereof.

55. A method and system as in claim 53, wherein a user may perform sub-queries on the form and content of any output or displayed information.

56. A method and system as in claim 51, wherein a selection from the set of threaded network architectures and intelligent autonomous software agents is used to parallelize the processing of each user query.

57. A method and system as in claim 51, wherein the communication channels that may be used in the presentation of said output or displayed information may include but are not limited to:

through a web browser;

within a window or set of windows in a desktop computer environment;

via printed matter;

via email or other electronic messaging;

via textual output in a terminal or terminal window;

via image representation;

via telephone, telegraph, or teletype;

or via verbal communication.

58. A method and system as in claim 51, wherein said storage and information retrieval systems and networks may include but are not limited to:

the World Wide Web and its associated protocols, Usenet newsgroups, private intranets, Virtual Private Networks, distributed file-sharing networks, a user'"'"'s local computer system'"'"'s storage devices, cellular or other wireless carrier networks, and direct database connections.

59. A method and system as in claim 51, wherein “

search services and data stores”

may be a plurality of types of information services, including but not limited to;

web-based search engines;

paid-for or subscription search engines or libraries;

web-enabled databases;

databases requiring direct connections not involving web protocols;

indexes or file directories stored on a user'"'"'s local computer system;

or indexes or file directories accessible via a network.

60. A method and system as in claim 51, wherein the user query submitted in step (a) may explicitly include a set of seed addresses, which are added to the set of seed addresses created in step (e).

61. A method and system as in claim 51, wherein a user may add to, configure, or update the process used to translate a user query into a set of translated user queries appropriate for the set of selected search services and data stores.

62. A method and system as in claim 61, wherein the parameters and properties that fully describe the operation of the query translation process may be stored and retrieved between queries.

63. A method and system as in claim 61, wherein a user may modify the query translation process so that it may be used to translate future user queries for submission to new search services or data stores.

64. A method and system as in claim 63, wherein a user may select for inclusion in a user query any of the said new search services or data stores.

65. A method and system as in claim 62, wherein the said parameters and properties of the query translation process are stored within a selection from the group of plug-in software components and the content of configuration files.

66. A method and system as in claim 62, wherein the parameters and properties of the query translation process may be automatically retrieved, distributed, and stored based on a master set of parameters and properties.

67. A method and system as in claim 51, wherein the analysis of content and meta-data may be customized and extended whereby a user may directly or indirectly control the nature of said analysis.

68. A method and system as in claim 67, wherein the methods by which the properties and parameters of said analysis may be described include but are not limited to:

user-supplied data, plug-in software components, and the content of configuration files.

69. A method and system as in claim 67, wherein the methods by which said analysis may be customized are publicly known such that persons not associated or affiliated with a vendor of an embodiment of the method and system may independently develop and distribute customized analysis processes.

70. A method and system as in claim 51, wherein the analysis of content and meta-data is capable of determining what additional types of content are linked to or embedded within said content and meta-data.

71. A method and system as in claim 70, wherein a user may define new types of content that may be identified within said analysis process.

72. A method and system as in claim 70, wherein a user may define new types of content that may be identified in said analysis process, the ways in which that definition may be accomplished include but are not limited to:

specifying the file extension(s) associated with the new types;

specifying the meta-data typically associated with the new types;

or providing examples of the new types of content so that identifying characteristics of the new types of content may be automatically determined, stored, and utilized.