UNIFIED CONTEXT-AWARE CONTENT ARCHIVE SYSTEM

• US 20150039565A1
• Filed: 08/01/2013
• Published: 02/05/2015
• Est. Priority Date: 08/01/2013
• Status: Active Grant

• Current Assignee: Actiance, Inc.
• Original Assignee: Actiance, Inc.
• Inventors: Lucas, Jeffrey T.
• Granted Patent: US 9,589,043 B2
• Time in Patent Office: Days
• US Class Current: 707/667
• CPC Class Codes: G06F 16/284 Relational databases
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: H04L 63/10 for controlling access to devices or network resources

Abstract

A unified context-aware content archive system allows enterprises to manage, enforce, monitor, moderate, and review business records associated with a variety of communication modalities. The system may store an information infoset derived or inferred from one or more documents representing communications according to the variety of communication modalities as interaction transcripts. An interaction transcript represents interactions between participants through the documents rather than the documents themselves allowing for derivation or inference of communication events, chronologies, and mappings to be stored in a common data structure. In one aspect, events correlation is provided between participants of communications that can be established by general time series analysis for the purposes of extracting meaningful statistics and interaction contexts and other characteristics of data. In another aspect, chronological mappings are provided of conversations between an established start and end time frame.

Claims

1. A method for archiving communications, the method comprising:

receiving, at one or more computer systems, information associated with one or more documents captured for at least one of a plurality of communication modalities;

determining, with one or more processors associated with the one or more computer systems, information indicative of an interaction between one or more participants of at least one or more communications represented by the one or more documents;

generating, with the one or more processors associated with the one or more computer systems, a transcript of the interaction that includes a bounded definition defining a sequence of one or more events that occur during the interaction; and

storing, with the one or more processors associated with the one or more computer systems, the transcript of the interaction according to a model that normalizes information associated with the plurality of communication modalities into a common information structure.

2. The method of claim 1 wherein the plurality of communication modalities comprises email communications, unified communications, collaboration communications, and social network communications.

3. The method of claim 1 wherein determining, with the one or more processors associated with the one or more computer systems, the information indicative of the interaction between the one or more participants of the at least one or more communications represented by the one or more documents comprises determining a combination of event-base timing signatures, participants engaging in an interaction, a unique correlation of persons, correlation through time, correlation through participant associations, and relationships through identity management.

4. The method of claim 1 wherein storing, with the one or more processors associated with the one or more computer systems, the transcript of the interaction according to the model that normalizes information associated with the plurality of communication modalities into the common information structure comprises determining a mapping between data attributes of at least one document and data attributes of the common information structure.

5. The method of claim 1 wherein storing, with the one or more processors associated with the one or more computer systems, the transcript of the interaction according to the model that normalizes information associated with the plurality of communication modalities into the common information structure comprises inferring information about at least one document for attributes of the common information structure from another source.

6. The method of claim 1 wherein storing, with the one or more processors associated with the one or more computer systems, the transcript of the interaction according to the model that normalizes information associated with the plurality of communication modalities into the common information structure comprises derive information about at least one document for attributes of the common information structure from another source.

7. The method of claim 1 wherein storing, with the one or more processors associated with the one or more computer systems, the transcript of the interaction according to the model that normalizes information associated with the plurality of communication modalities into the common information structure comprises partitioning data across a specialized medium store.

8. The method of claim 1 wherein storing, with the one or more processors associated with the one or more computer systems, the transcript of the interaction according to the model that normalizes information associated with the plurality of communication modalities into the common information structure comprises tagging the interaction based on a set of predetermined tags.

9. The method of claim 1 wherein storing, with the one or more processors associated with the one or more computer systems, the transcript of the interaction according to the model that normalizes information associated with the plurality of communication modalities into the common information structure comprises scrubbing data, determining identity information, and de-encapsulating the data.

10. The method of claim 1 wherein generating, with the one or more processors associated with the one or more computer systems, the transcript of the interaction comprises determining one or more contexts across each of the plurality of communication modalities.

11. The method of claim 1 wherein generating, with the one or more processors associated with the one or more computer systems, the transcript of the interaction comprises determining relationships between the one or more participants.

12. The method of claim 1 wherein generating, with the one or more processors associated with the one or more computer systems, the transcript of the interaction comprises deriving or inferring a context via sequenced ordering of events corresponding to each distinct event.

14. The system of claim 1 wherein the plurality of communication modalities comprises email communications, unified communications, collaboration communications, and social network communications.

15. The system of claim 1 wherein the processor is further configured to detect a communication medium in at least one of the plurality of communication modalities based on the captured information and a set of common characteristics.

16. The system of claim 15 wherein the communication medium is detected based on a combination of event-base timing signatures, participants engaging in an interaction, a unique correlation of persons, correlation through time, correlation through participant associations, and relationships through identity management.

17. The system of claim 1 wherein to store the information associated with each of the plurality of communication modalities in a plurality of interaction transcript models that normalize each of the plurality of communication modalities into the common information structure the processor is configured to determine a mapping between data attributes of the information and data attributes of the common information structure.

18. The system of claim 1 wherein to store the information associated with each of the plurality of communication modalities in a plurality of interaction transcript models that normalize each of the plurality of communication modalities into the common information structure the processor is configured to infer information for attributes of the common information structure from another source.

19. The system of claim 1 wherein to store the information associated with each of the plurality of communication modalities in a plurality of interaction transcript models that normalize each of the plurality of communication modalities into the common information structure the processor is configured to derive information for attributes of the common information structure from another source.

20. The system of claim 1 wherein to store the information associated with each of the plurality of communication modalities in a plurality of interaction transcript models that normalize each of the plurality of communication modalities into the common information structure the processor is configured to partition data across specialized medium store.

21. The system of claim 1 wherein to store the information associated with each of the plurality of communication modalities in a plurality of interaction transcript models that normalize each of the plurality of communication modalities into the common information structure the processor is configured to tag information based on a set of predetermined tags.

22. The system of claim 1 wherein to store the information associated with each of the plurality of communication modalities in a plurality of interaction transcript models that normalize each of the plurality of communication modalities into the common information structure the processor is configured to scrub data, determine identity information, and de-encapsulate the data.

23. The system of claim 1 wherein to generate one or more contexts across the plurality of communication modalities based on the plurality of interaction transcript models the processor is configured to determine one or more conversations between participants.

24. The system of claim 1 wherein to generate one or more contexts across the plurality of communication modalities based on the plurality of interaction transcript models the processor is configured to determine relationships between participants.

25. The system of claim 1 wherein to generate one or more contexts across the plurality of communication modalities based on the plurality of interaction transcript models the processor is configured to derive or infer a context via sequenced ordering of events corresponding to each distinct event.

26. The system of claim 1 wherein to generate one or more contexts across the plurality of communication modalities based on the plurality of interaction transcript models the processor is configured to derive or infer a context via chronologic events corresponding to each distinct event.

27. The system of claim 1 wherein to generate one or more contexts across the plurality of communication modalities based on the plurality of interaction transcript models the processor is configured to derive or infer a context via linked to participants in question.

28. The system of claim 1 wherein the processor is further configured to generate a full text search of the one or more contexts.

29. The system of claim 1 wherein the processor is further configured to perform a semantic analysis of the one or more contexts.

30. The system of claim 1 wherein the processor is further configured to model and visualize interaction context results.

31. The system of claim 30 wherein the processor is further configured to generate a time-line view of the interaction context results.

32. The system of claim 30 wherein the processor is further configured to generate a threaded contexts view of the interaction context results.

33. The system of claim 30 wherein the processor is further configured to generate a social graph of the interaction context results.

13. A system for archiving a plurality of communication modalities, the system comprising:

a processor; and

a memory configured to store a set of instructions which when execute by the processor configured the processor to;

capture information associated with each of the plurality of communication modalities;

store the information associated with each of the plurality of communication modalities in a plurality of interaction transcript models that normalize each of the plurality of communication modalities into a common information structure;

generate one or more contexts across the plurality of communication modalities based on the plurality of interaction transcript models; and

store information associating the one or more contexts with the plurality of interaction transcript models.