Real-time and adaptive data mining

1. A method of analyzing data, comprising:

receiving, from a first user, a query for non-textual data;

expanding search terms of the query;

executing the query on a plurality of data sources;

selecting at least one data source from the plurality of data sources, the at least one data source being selected when results of the query are greater than or equal to an accuracy thresholds;

monitoring, based on a set schedule, the at least one data source to extract non-textual data from the at least one data source when at least an update to stored data matches the query, newly added non-textual data matches the query, or a combination thereof; and

establishing a communication channel with a second user based at least in part on the data extracted from the at least one monitored data source.

2. The method of claim 1 , further comprising:

analyzing the extracted non-textual data; and

receiving feedback from the user based at least in part on the established communication channel.

3. The method of claim 2 , further comprising visualizing at least the extracted non-textual data, the analyzed non-textual data, or a combination thereof.

4. The method of claim 1 , in which expanding the query comprises expanding the search terms to include at least misspellings, synonyms, sub-topics, antonyms, or a combination thereof.

5. The method of claim 1 , further comprising refining the search terms based at least in part on the executed query, and in which the monitoring is performed to monitor for matches to a refined query.

6. The method of claim 1 , in which the plurality of data sources include open-source data sources that are publically available and closed-source data sources that at not publically accessible.

7. The method of claim 1 , in which the query comprises at least a natural language query, a non-textual data query, or a combination thereof.

8. The method of claim 1 , in which the non-textual data comprises at least one of an image, audio, a video, or a combination thereof.

9. The method of claim 1 , in which the monitoring comprises deploying extractors to each of specific data source, a number of extractors being dynamic based at least in part on a traffic volume of each specific data source.

10. An apparatus for analyzing data, comprising:

a memory; and

at least one processor coupled to the memory, the at least one processor configured:

to receive, from a first user, a query for non-textual data;

to expand search terms of the query;

to execute the query on a plurality of data sources;

to select at least one data source from the plurality of data sources, the at least one data source being selected when results of the query are greater than or equal to an accuracy thresholds;

to monitor, based on a set schedule, the at least one data source to extract non-textual data from the at least one data source when at least an update to stored data matches the query, newly added non-textual data matches the query, or a combination thereof; and

to establish a communication channel with a second user based at least in part on the data extracted from the at least one monitored data source.

11. The apparatus of claim 10 , in which the at least one processor is further configured:

to analyze the extracted non-textual data; and

to receive feedback from the user based at least in part on the established communication channel.

12. The apparatus of claim 11 , in which the at least one processor is further configured to visualize at least the extracted non-textual data, the analyzed non-textual data, or a combination thereof.

13. The apparatus of claim 10 , in which expanding the query comprises expanding the search terms to include at least misspellings, synonyms, sub-topics, antonyms, or a combination thereof.

14. The apparatus of claim 10 , in which the at least one processor is further configured to refine the search terms based at least in part on the executed query, and in which the monitoring is performed to monitor for matches to a refined query.

15. The apparatus of claim 10 , in which the plurality of data sources include open-source data sources that are publically available and closed-source data sources that at not publically accessible.

16. The apparatus of claim 10 , in which the query comprises at least a natural language query, a non-textual data query, or a combination thereof.

17. The apparatus of claim 10 , in which the non-textual data comprises at least one of an image, audio, a video, or a combination thereof.

18. The apparatus of claim 10 , in which the at least one processor is further configured to monitor by deploying extractors to each of specific data source, a number of extractors being dynamic based at least in part on a traffic volume of each specific data source.

19. A non-transitory computer-readable medium having program code recorded thereon for analyzing data, the program code executed by a processor and comprising:

program code to receive, from a first user, a query for non-textual data;

program code to expand search terms of the query;

program code to execute the query on a plurality of data sources;

program code to select at least one data source from the plurality of data sources, the at least one data source being selected when results of the query are greater than or equal to an accuracy thresholds;

program code to monitor, based on a set schedule, the at least one data source to extract non-textual data from the at least one data source when at least an update to stored data matches the query, newly added non-textual data matches the query, or a combination thereof; and

program code to establish a communication channel with a second user based at least in part on the data extracted from the at least one monitored data source.

20. The non-transitory computer-readable medium of claim 19 , in which the at least one processor is further configured:

to analyze the extracted non-textual data; and

to receive feedback from the user based at least in part on the established communication channel.