Enhanced syndication

• US 20060173985A1
• Filed: 09/10/2005
• Published: 08/03/2006
• Est. Priority Date: 02/01/2005
• Status: Active Grant

• Current Assignee: Newsilike Media Group, Inc.
• Original Assignee: Newsilike Media Group, Inc.
• Inventors: Moore, James F.
• Granted Patent: US 8,200,775 B2
• Time in Patent Office: Days
• US Class Current: 709/223
• CPC Class Codes: G06F 16/958 Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking
• CPC Class Codes: G06F 21/6254 by anonymising data, e.g. decorrelating personal data from the owner's identification
• CPC Class Codes: G06F 21/6263 during internet communication, e.g. revealing personal data from cookies
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 20/40 relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture
• CPC Class Codes: G16H 40/20 for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
• CPC Class Codes: G16H 70/20 relating to practices or guidelines
• CPC Class Codes: H04L 63/20 for managing network security; network security policies in general filtering policies H04L63/0227
• CPC Class Codes: H04L 67/00 Network arrangements or protocols for supporting network services or applications user-to-user messaging H04L51/00; network arrangements, protocols or services for supporting real-time applications in data packet communications networks H04L65/00
• CPC Class Codes: H04L 67/02 based on web technology, e.g. hypertext transfer protocol [HTTP]
• CPC Class Codes: Y02P 90/84 Greenhouse gas [GHG] management systems

Abstract

A variety of tools and techniques are disclosed for managing, viewing, publishing, searching, clustering, and otherwise manipulating data streams. Data streams such as RSS data feeds may be searched, aggregated, and filtered into a processed feed. The processed feed, along with rules used to process the feed may be shared in a number of ways. A data feed management system may provide an integrated user interface through which a user may manage feeds, including searching for new feeds, managing and filtering current feeds, modifying a user profile, and sharing feeds and feed configuration data with other users. A server may provide a complementary search engine to locate new feeds and to store and/or index items or posts in known feeds. Together, these technologies may provide a richly-functioned feed management system and greater ease of use for individuals in managing large numbers of feeds and large amounts of data in feeds. Additional functional layers may provide for authentication, security, and privacy, metadata creation and management, and social networking features. Using the management tools and additional functionality, a syndicated data stream system may provide a platform for a wide array of useful consumer and business applications.

Claims

1. A system comprising:

a syndication platform, the syndication platform managing publication of a plurality of data feeds including a plurality of items; and

a semantic service associated with the syndication platform, the semantic service providing automated semantic analysis of one or more of the plurality of items.

2. The system of claim 1 wherein the semantic service associates one of the items with one or more other ones of the plurality of items.

3. The system of claim 1 wherein the semantic service includes an outlining service.

4. The system of claim 3 wherein the outlining service uses the Outline Processing Markup Language.

5. The system of claim 3 wherein the outlining service interrelates the plurality of items in a hierarchical tree structure.

6. The system of claim 5 further comprising a plurality of outlines, each outline describing relationships between a plurality of items.

7. The system of claim 2 wherein at least one of the plurality of items is an outline.

8. The system of claim 1 wherein at least one of the items includes data from a relational database.

9. The system of claim 1 wherein at least one of the items includes a file.

10. The system of claim 9 wherein the file includes one or more of an audio file, an image file, a movie file, a word processing file, a spreadsheet file, a presentation file, a document, an HTML file, a text file, an executable file, and a script.

11. The system of claim 1 wherein the semantic service categorizes one or more of the plurality of items.

12. The system of claim 11 wherein the semantic service categorizes items according to file type.

13. The system of claim 11 wherein the semantic service categorizes items according to popularity.

14. The system of claim 11 wherein the semantic service categorizes items according to relationships with other items.

15. The system of claim 11 wherein the semantic service categorizes items according to user annotations.

16. The system of claim 1 wherein the semantic service enriches metadata associated with one or more of the items.

17-35. -35. (canceled)

36. A method comprising:

publishing a plurality of items in one or more data feeds for subscription; and

automatically semantically analyzing the plurality of items.

37. The method of claim 36 further comprising semantically associating one of the items with one or more other ones of the plurality of items.

38. The method of claim 36 further comprising providing an outlining service for describing relationships among two or more of the plurality of items.

39. The method of claim 38 wherein the outlining service uses the Outline Processing Markup Language.

40. The method of claim 38 wherein the outlining service interrelates the plurality of items in a hierarchical tree structure.

41. The method of claim 40 further comprising interrelating two or more of the items through a plurality of outlines.

42. The method of claim 37 wherein at least one of the plurality of items is an outline.

43. The method of claim 36 wherein at least one of the items includes data from a relational database.

44. The method of claim 36 wherein at least one of the items includes a file.

45. The method of claim 44 wherein the file includes one or more of an audio file, an image file, a movie file, a word processing file, a spreadsheet file, a presentation file, a document, an HTML file, a text file, an executable file, and a script.

46. The method of claim 36 wherein automatically semantically analyzing the plurality of items includes categorizing one or more of the plurality of items.

47. The method of claim 46 wherein the one or more of the plurality of items is categorized according to file type.

48. The method of claim 46 wherein the one or more of the plurality of items is categorized according to popularity.

49. The method of claim 46 wherein the one or more of the plurality of items is categorized according to relationships with other items.

50. The method of claim 46 wherein the one or more of the plurality of items is categorized according to user annotations.

51. The method of claim 36 wherein automatically semantically analyzing the plurality of items includes enriching metadata associated with one or more of the items.

52. The method of claim 51 wherein automatically semantically analyzing the plurality of items includes enriching metadata using a dictionary.

53. The method of claim 51 wherein automatically semantically analyzing the plurality of items includes enriching metadata using a thesaurus.

54. The method of claim 51 wherein automatically semantically analyzing the plurality of items includes enriching metadata by analyzing a relationship of one of the items to one or more other ones of the items.

55. The method of claim 51 wherein automatically semantically analyzing the plurality of items includes enriching metadata by analyzing one or more of a time of publication of an item, an author of an item, a source of an item, or metadata of an item.

56. The method of claim 51 wherein automatically semantically analyzing the plurality of items includes enriching metadata by analyzing a body of an item.

57. The method of claim 56 wherein automatically semantically analyzing the plurality of items includes performing a language analysis of content of the body.

58. The method of claim 36 wherein automatically semantically analyzing the plurality of items includes enriching content of one of the plurality of items.

59. The method of claim 36 wherein at least one of the one or more data feeds includes an aggregated data feed from a plurality of sources.

60. The method of claim 59 wherein the aggregated data feed is filtered before publication.

61. The method of claim 59 wherein the aggregated data feed includes aggregated news content relating to an entity.

62. The method of claim 61 wherein the plurality of items includes stored data relating to the entity.

63. The method of claim 62 wherein the entity includes a corporate entity and the stored data includes stored data relating to one or more financial instruments of the corporate entity.

64. The method of claim 63 wherein the financial instrument includes one or more of a publicly traded security, a bond, a privately held security, an option, and a futures contract.

65. The method of claim 36 wherein automatically semantically analyzing the plurality of items includes structuring content of the plurality of items by associating items according to a semantic relationship of the items.

66. The method of claim 36 wherein automatically semantically analyzing the plurality of items includes formating one of the plurality of items for display according to a semantic evaluation.

67. The method of claim 36 wherein automatically semantically analyzing the plurality of items includes modifying metadata for one of the plurality of items.

68. The method of claim 36 wherein automatically semantically analyzing the plurality of items includes interpreting language of at least one item.

69. The method of claim 36 further comprising storing semantic data in a searchable archive.

70. The method of claim 36 further comprising providing a user interface adapted to display one of the items according to semantic content of the item.

71. A computer program product embodied on a computer-readable medium comprising computer executable code which, when executing on one or more computers, performs the following steps:

publishing a plurality of items in one or more data feeds for subscription; and

automatically semantically analyzing the plurality of items.

72. The computer program product of claim 71 wherein the computer program product, when executing on one or more computers further performs the step of semantically associating one of the items with one or more other ones of the plurality of items.

73. The computer program product of claim 71 wherein the computer program product, when executing on one or more computers further performs the step of providing an outlining service for describing relationships among two or more of the plurality of items.

74. The computer program product of claim 73 wherein the outlining service uses the Outline Processing Markup Language.

75. The computer program product of claim 73 wherein the outlining service interrelates the plurality of items in a hierarchical tree structure.

76. The computer program product of claim 75 wherein the computer program product, when executing on one or more computers further performs the step of interrelating two or more of the items through a plurality of outlines.

77. The computer program product of claim 72 wherein at least one of the plurality of items is an outline.

78. The computer program product of claim 71 wherein at least one of the items includes data from a relational database.

79. The computer program product of claim 71 wherein at least one of the items includes a file.

80. The computer program product of claim 79 wherein the file includes one or more of an audio file, an image file, a movie file, a word processing file, a spreadsheet file, a presentation file, a document, an HTML file, a text file, an executable file, and a script.

81. The computer program product of claim 71 wherein automatically semantically analyzing the plurality of items includes categorizing one or more of the plurality of items.

82. The computer program product of claim 81 wherein the one or more of the plurality of items is categorized according to file type.

83. The computer program product of claim 81 wherein the one or more of the plurality of items is categorized according to popularity.

84. The computer program product of claim 81 wherein the one or more of the plurality of items is categorized according to relationships with other items.

85. The computer program product of claim 81 wherein the one or more of the plurality of items is categorized according to user annotations.

86. The computer program product of claim 71 wherein automatically semantically analyzing the plurality of items includes enriching metadata associated with one or more of the items.

87-106. -106. (canceled)