Unified context-aware content archive system

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

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

normalizing, via one of the one or more computer systems, the information associated with each of the plurality of documents into a single information structure;

generating, via one of the one or more computer systems, a transcript of an interaction between a plurality of participants for the plurality the communication modalities based at least in part on the normalized information;

storing, via one of the one or more computer systems, the transcript the interaction between the plurality of participants;

determining, via one of the one or more computer systems, the plurality of participants involved in the interaction based on the transcript; and

mapping, via one of the one of the one or more computer systems, the plurality of participants to a logical social graph based on a connection context derived from a social media network.

2. The method of claim 1 , further comprising performing, via one of the one or more computer systems, data enrichment of the normalized information.

3. The method of claim 2 , wherein the data enrichment is performed via a metadata augmenter configured to correlate a relationship of communication events to other events.

4. The method of claim 2 , wherein the data enrichment is performed via a metadata augmenter configured to correlate time series events by tying together start-end timeframes supplied by the transcript.

5. The method of claim 1 , wherein normalizing the information comprises scrubbing the information and de-encapsulating the scrubbed information.

6. The method of claim 1 , wherein normalizing the information comprises:

synthesizing, via one of the one or more computer systems, events into a de-normalized information set;

storing, via one of the one or more computer systems, the de-normalized information set on a local storage medium; and

pushing, via one of the one or more computer systems, the de-normalized information sets for normalized staging and downstream processing.

7. The method of claim 1 , further comprising enriching, via one of the one or more computer systems, the information associated with the plurality of documents captured for the plurality of communication modalities along a pathway of communication between end points.

8. The method of claim 1 , further comprising rendering social media graph according to the logical social graph.

9. The method of claim 1 , wherein the logical social graph comprises inter-connections on the social media network of a particular participant of plurality of participants with a plurality of other participants of the plurality of participants.

10. A system for archiving communications, the system comprising:

at least one processor; and

a memory configured to store a set of instructions which, when executed by the at least one processor, causes the at least one processor to:

receive information associated with a plurality of documents captured for a plurality of communication modalities between a plurality of participants;

normalize the information associated with each of the plurality of documents into a single information structure;

generate a transcript of an interaction for the plurality the communication modalities between the plurality of participants based at least in part on the normalized information;

store the transcript the interaction between the plurality of participants;

determine the plurality of participants involved in the interaction; and

map the plurality of participants to a logical social graph based on a connection context derived from a social media network.

11. The system of claim 10 , wherein normalizing the information comprises performing data scrubbing, identity mapping, and de-encapsulation on the information.

12. The system of claim 10 , wherein the set of instructions further causes the at least one processor to;

index information prior to storing the transcript using at least one of: full-text indices, semantic analysis, topic indices, and metadata indices; and

correlate conversations between the plurality of participants based on the indexed information.

13. The system of claim 10 , wherein the set of instructions further causes the at least one processor to:

determine at least one identifier for at least one of an event or a transaction occurring during a timeframe of the interaction; and

enrich the stored transcript based on the at least one identifier.

14. The system of claim 13 , wherein the set of instructions further causes the at least one processor to determine at least one link to a previous event or future event, wherein the stored transcript is enriched further based on the at least one link.

15. The system of claim 13 , wherein the set of instructions further causes the at least one processor to:

generate an interaction context from the enriched stored transcript; and

package and archive the interaction context.

16. The system of claim 10 , wherein the transcript comprises a first set of events belonging to a first communication modality and a second set of events belonging to a second communication modality.

17. The system of claim 10 , wherein the set of instructions further causes the at least one processor to store the transcript by partitioning data across a specialized medium store.

18. The system of claim 10 , wherein the set of instructions further causes the at least one processor to generate at least one context across the plurality of communication modalities based at least in part on the transcript of the interaction.

19. The system of claim 10 , wherein the transcript of the interaction comprises chronological mappings of the interaction between a start time and an end time.

20. The system of claim 10 , wherein the set of instructions further causes the at least one processor to tag the transcript based on a set of predetermined tags.