SYSTEM AND METHOD FOR METADATA CAPTURE, EXTRACTION AND ANALYSIS

• US 20130036117A1
• Filed: 02/02/2012
• Published: 02/07/2013
• Est. Priority Date: 02/02/2011
• Status: Active Grant

• Current Assignee: Paul Tepper Fisher, Zeeshan Hussain Zaidi
• Original Assignee: Paul Tepper Fisher, Zeeshan Hussain Zaidi
• Inventors: Fisher, Paul Tepper, Zaidi, Zeeshan Hussain
• Granted Patent: US 8,639,719 B2
• Time in Patent Office: Days
• US Class Current: 707/736
• CPC Class Codes: G06F 16/435 Filtering based on additional data, e.g. user or group profiles
• CPC Class Codes: G06F 16/487 using geographical or spatial information, e.g. location

Abstract

System and methods are provided that enable a data and information repository with a semantic engine that enables users to easily capture information in various formats from various devices along with rich metadata relating to that information. The information repository can be configured to query the captured information and any metadata to extrapolate new meaning, including semantic meaning, and to perform various tasks, including but not limited to sharing of the information and metadata. In some embodiments, the information repository is configured to generate recommendations to users based on analysis of the captured information.

Claims

1. A system for facilitating metadata capture and analysis, the system comprising:

at least one processor operatively connected to a memory, the processor configured to execute a plurality of system components, the plurality of system components comprising;

a communication component configured to receive an information capture event, wherein the information capture event includes a captured content item and content metadata;

an analysis component configured to determine semantic information for the captured content item, wherein the semantic information for the captured content item includes a context associated with the captured content item;

a discovery component configured to discover any associated information for the information capture event; and

an association component configured to store the content item and relationships between any discovered associated information.

2. The system according to claim 1, wherein the association component is further configured store to the relationship to any respective associated information as at least one semantic entity.

3. The system according to claim 2, wherein the association component is further configured to store the at least one semantic entity as at least a data triple, wherein the data triple defines an object, predicate, object stored as URI or literal values.

4. The system according to claim 1, wherein the plurality of system components further comprises an extraction component configured to extract additional metadata from the captured content item.

5. The system according to claim 4, wherein the extraction component is further configured to process the captured content item based on a content type.

6. The system according to claim 5, wherein the content type includes at least one of illustration, notes, document, business card, meeting audio, and user defined.

7. The system according to claim 4, wherein the discovery component is further configured to discover any associated information for the information capture event based on the extracted additional metadata.

8. The system according to claim 1, further comprising a prediction component configured to predict at least one possible context for an information capture event.

9. The system according to claim 8, wherein the prediction component is further configured to predict the at least one possible context in response to received location information.

10. The system according to claim 1, wherein the communication component is further configured to communicate a possible context for the information capture event to a user.

11. The system according to claim 10, wherein the communication component is further configured to receive a selection of the possible context from a user.

12. The system according to claim 1, wherein the analysis component is further configured to determine the context of an information capture event in response to user input.

13. The system according to claim 1, wherein the analysis component is further configured to determine a semantic entity type for the captured content item.

14. The system according to claim 1, further comprising a recommendation component configured to generate recommendations.

15. The system according to claim 14, wherein the recommendation component is further configured to identify user events and associated information for the user events.

16. The system according to claim 15, wherein the recommendation component is further configured to generate the recommendations based, at least in part, on identified semantic connections between the user event and associated information.

17. The system according to claim 15, wherein the recommendation component is further configured to generate recommendations for subsequent user events based on determining context for a preceding user event.

18. A computer implemented method for facilitating metadata capture and analysis, the method comprising:

receiving, by a computer server, an information capture event from a user, wherein the information capture event includes a captured content item and content metadata;

determining, by the computer server, semantic information for the captured content item, wherein the semantic information for the captured content item includes a context associated with the captured content item;

discovering, by the computer server, any associated information for the information capture event; and

storing, by the computer server, the content item and relationships between any discovered associated information.

19. The method according to claim 18, wherein the act of storing the content item and the relationships between any discovered associated information includes an act of storing the content item and the relationships between any discovered associated information as at least one semantic entity.

20. The method according to claim 19, wherein the act of storing the content item and relationships between any discovered associated information as the at least one semantic entity includes storing the at least one semantic entity as at least a data triple, wherein the data triple defines an object, predicate, and subject stored as URI or literal values.

21. The method according to claim 18, further comprising an act of extracting additional metadata from the captured content item.

22. The method according to claim 21, wherein the act of extracting additional metadata from the captured content item includes an act of processing the captured content item based on a content type.

23. The method according to claim 22, wherein the content type includes at least one of illustration, notes, document, business card, meeting audio, and user defined.

24. The method according to claim 21, wherein the act of discovering any associated information for the information capture event includes an act of discovery the any associated information for the information capture event based on the extracted additional metadata.

25. The method according to claim 18, further comprising an act of predicting at least one possible context for an information capture event.

26. The method according to claim 25, wherein the act of predicting is responsive to received location information.

27. The method according to claim 18, further comprising an act of communicating a possible context for the information capture event to the user.

28. The method according to claim 27, further comprising an act of receiving a selection of the possible context from the user.

29. The method according to claim 18, wherein the act of determining the semantic information for the captured content item including the context associated with the captured content item, includes an act of determining the context of an information capture event responsive to user input.

30. The method according to claim 18, further comprising an act of determining a semantic entity type for the captured content item.

31. The method according to claim 18, further comprising an act generating recommendations for a user.

35. The method according to claim 18, wherein the act of discovering any associated information includes discovering at least one of existing information in an information repository associated with the information capture event and external information associated with the information capture event, and

wherein the method further comprises an act of generating semantic entities based on the semantic information for the captured content item and the associated information.

36. The method according to claim 35, further comprising an act of executing, anonymously, service requests received from the user on an external user account.

32. The method according to claim 32, wherein the act of generating recommendations for the user includes an act of identifying user events and associated information for the user events.

33. The method according to claim 32, wherein the act of generating the recommendations for the user includes an act of generating the recommendations based, at least in part, on identified semantic connections between the user event and associated information.

34. The method according to claim 32, further comprising an act of generating recommendations for subsequent user events based on determining the context for a preceding user event.