SYSTEM AND METHOD FOR CROSS-CLOUD TOPIC MATCHING

1 . A method for cross-cloud topic matching, comprising:

receiving unstructured data as a collection of unstructured data portions;

analyzing each of the unstructured data portions to identify at least one tag in each unstructured data portion;

determining a topic for each unstructured data portion based on the identified at least one tag;

analyzing the determined topics to identify at least one match between the topics; and

generating at least one searchable term respective of the at least one match.

2 . The method of claim 1 , wherein generating at least one searchable term respective of the at least one match further comprises:

correlating the determined topics; and

selecting a most descriptive term based on the correlating.

3 . The method of claim 1 , wherein analyzing the determined topics to identify at least one match between the topics further comprises:

determining if any portions of the topics are related; and

upon determining that portions of the topics are related, identifying a match between the related portions.

4 . The method of claim 1 , wherein analyzing each unstructured data portion to identify at least one tag in each portion further comprises:

determining, for each unstructured data portion, at least one textual term within the unstructured data portion;

comparing each of the at least one textual term with a plurality of predetermined textual terms, wherein a tag is assigned to each of the predetermined textual terms; and

upon determining that a textual term of the at least one textual term matches one of the predetermined textual terms, identifying the tag assigned to the matching predetermined textual term.

5 . The method of claim 4 , further comprising:

upon determining that none of the at least one textual term matches one of the predetermined textual terms, generating a tag based for each of the at least one textual term.

6 . The method of claim 4 , wherein analyzing each unstructured data portion to identify at least one tag in each portion further comprises:

filtering insignificant textual terms from the at least one textual term.

7 . The method of claim 1 , wherein determining a topic for each unstructured data portion based on the identified at least one tag further comprises:

comparing the at least one tag of each unstructured data portion to a plurality of combinations of tags to determine at least one context; and

determining the topic based on the context.

8 . The method of claim 7 , wherein the at least one context is further based on a source of the unstructured data.

9 . The method of claim 1 , wherein the unstructured data is any of: a document, a message, an image, a video clip, and a calendar event description.

10 . A non-transitory computer readable medium having stored thereon instructions for causing one or more processing units to execute the method according to claim 1 .

11 . A system for cross-cloud topic matching, comprising:

a processing unit; and

a memory, the memory containing instructions that, when executed by the processing unit, configure the system to:

receive unstructured data including at least one unstructured data portion;

analyze each unstructured data portion to identify at least one tag in each unstructured data portion;

determine a topic for each unstructured data portion based on the identified at least one tag;

analyze the determined topics to identify at least one match between the topics; and

generate at least one searchable term respective of the at least one match.

12 . The system of claim 11 , wherein the system is further configured to:

correlate the determined topics; and

select a most descriptive term based on the correlating.

13 . The system of claim 11 , wherein the system is further configured to:

determine if any portions of the topics are related; and

upon determining that portions of the topics are related, identify a match between the related portions.

14 . The system of claim 11 , wherein the system is further configured to:

determine, for each unstructured data portion, at least one textual term within the unstructured data portion;

compare each of the at least one textual term with a plurality of predetermined textual terms, wherein a tag is assigned to each of the predetermined textual terms; and

upon determining that a textual term of the at least one textual term matches one of the predetermined textual terms, identify the tag assigned to the matching predetermined textual term.

15 . The system of claim 14 , wherein the system is further configured to:

upon determining that none of the at least one textual term matches one of the predetermined textual terms, generate a tag based for each of the at least one textual term.

16 . The system of claim 14 , wherein the system is further configured to:

filter insignificant textual terms from the at least one textual term.

17 . The system of claim 11 , wherein the system is further configured to:

compare the at least one tag of each unstructured data portion to a plurality of combinations of tags to determine at least one context; and

determine the topic based on the context.

18 . The system of claim 17 , wherein the at least one context is further based on a source of the unstructured data.

19 . The system of claim 11 , wherein the unstructured data is any of: a document, a message, an image, a video clip, and a calendar event description.

20 . An agent for cross-cloud topic matching, comprising:

a network interface for receiving and sending unstructured data, the unstructured data including at least one portion of unstructured data;

an analyzing unit for identifying at least one tag respective of each portion of the unstructured data;

a topic determination unit for generating at least one topic respective of each portion of unstructured data; and

a term generator for generating at least one searchable term based on matches between the topics.