Predictive information discovery engine

• US 9,779,132 B1
• Filed: 12/30/2013
• Issued: 10/03/2017
• Est. Priority Date: 12/30/2013
• Status: Active Grant

• Current Assignee: Emc IP Holding Company LLC (Dell Technologies Inc.)
• Original Assignee: Emc IP Holding Company LLC (Dell Technologies Inc.)
• Inventors: Bauer, Andreas L., Parenti, David A., Zeldich, Michael
• Primary Examiner(s): Hershley, Mark E
• Application Number:
  US14/143,089
• Time in Patent Office: 1,373 Days
• Field of Search: 707769
• CPC Class Codes: G06F 16/245 Query processing
• CPC Class Codes: G06F 16/2455 Query execution
• CPC Class Codes: G06F 16/24573 using data annotations, e.g. user-defined metadata
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation

Abstract

A computer executes a predictive information discovery engine in an operating environment that includes execution of an application with which a user interacts to accomplish a task. Trigger signals are received from trigger components that monitor the user'"'"'s interaction with the application and respond to user actions to generate the trigger signals. The trigger signals include signal-specific metadata obtained from a store of metadata including current context information about the user'"'"'s use of the application. The trigger signals are automatically responded by (i) querying external data sources for information relevant to a current operating context as reflected in the signal-specific metadata, and (ii) for information returned in response to the querying, presenting the returned information to the user in the current operating context to enable the user to use the presented information in connection with the task.

Claims

1. A method of operating a computer as a predictive information discovery engine in an operating environment, the operating environment including execution of one or more applications with which a user interacts to accomplish a task, comprising:

receiving trigger signals from trigger components in the operating environment, the trigger components monitoring the user'"'"'s interaction with the application and responding to predetermined user actions to generate the trigger signals each including signal-specific metadata, the signal-specific metadata obtained from a store of metadata including current context information about the user'"'"'s use of the application; and

automatically responding to the trigger signals to (i) query external data sources for information relevant to a current operating context of the user and applications as reflected in the signal-specific metadata from the trigger signals, and (ii) for information returned in response to the querying, present the returned information to the user in the current operating context to enable the user to use the presented information in connection with the task,

wherein automatically responding to the trigger signals includes, in response to one trigger signal, both (i) querying one of the external data sources and receiving returned information in response to the querying, and (ii) presenting the returned information to the user in the current operating context to enable the user to use the presented information in connection with the task,

and wherein the returned information is presented asynchronously with respect to a sequence of operations being performed by the user,

and wherein the metadata are organized into use-case metadata and information metadata, the use-case metadata describing (i) the current operating context for the user, (ii) an association of the user with other users, and (iii) dependencies for an official procedure, project plan, or policy, the information metadata describing the information returned from the external data sources and being used to manage the external access for efficient operation.

2. A method according to claim 1, wherein the predictive information discovery engine is a domain-specific engine implemented using one or more of rules engines, gaming algorithms, and heuristics.

3. A method according to claim 1, wherein the querying and presenting are performed based on an indication of information relevance provided by a relevance algorithm of the predictive information discovery engine, and further including:

monitoring the use and non-use by the user of the presented information; and

adjusting the relevance algorithm according to the monitored use and non-use to increase a rate of use of presented information.

4. A method according to claim 1, further including updating the metadata for use in generating future triggers and corresponding queries.

5. A method according to claim 1, wherein the trigger components are program modules having connections into the application to enable the monitoring of the user'"'"'s interaction with the application.

6. A method according to claim 5, wherein the program modules forming the trigger components include plug-in modules embedded in the application.

7. A method according to claim 1, wherein the metadata in the store of metadata establishes mappings of from aspects of the task to other elements related to the task.

8. A method according to claim 1, wherein the metadata captures dependencies among different tasks in the operating environment that must be satisfied in a predetermined manner.

9. A method according to claim 8, wherein the dependencies include a requirement for testing of a component created in a design task.

10. A method according to claim 1, wherein the metadata are organized according to a domain-specific schema and created by a fill-in process from application data existing in the application environment.

11. A method according to claim 1, wherein the metadata are maintained over a time period significantly longer than a duration of the task to identify long-term trends of usage of the application environment.

12. A method according to claim 1, wherein the external information sources includes sources local to an organization using the operating environment, including separate information management systems of the organization.

13. A method according to claim 1, wherein the external information sources include non-local, publically accessible online information sources.

14. A method according to claim 1, wherein:

the one trigger signal includes an indication that a user has opened a particular type or name of a file;

the metadata includes metadata associated with the particular type or name of the file; and

the returned information presented to the user includes information related to the file.

15. A method according to claim 1, wherein presenting the returned information to the user includes adding a tabbed pane to a current pane-style display element used in the current operating context, the tabbed pane including the returned information to be presented.

16. A method according to claim 1, wherein presenting the returned information to the user includes displaying a pop-up window separate from a current window of the current operating context, the pop-up window including the returned information to be presented.

17. A method according to claim 1, wherein the information metadata includes an identification of information items as well as information regarding age, content, owner, location, last access, and frequency of access.

18. A computer program product comprising a non-transitory computer-readable medium having computer program instructions recorded thereon, the instructions being operative, when executed by a computer, to cause the computer to perform a method of operating as a predictive information discovery engine in an operating environment, the operating environment including execution of one or more applications with which a user interacts to accomplish a task, the method including:

receiving trigger signals from trigger components in the operating environment, the trigger components monitoring the user'"'"'s interaction with the application and responding to predetermined user actions to generate the trigger signals each including signal-specific metadata, the signal-specific metadata obtained from a store of metadata including current context information about the user'"'"'s use of the application; and

automatically responding to the trigger signals to (i) query external data sources for information relevant to a current operating context of the user and applications as reflected in the signal-specific metadata from the trigger signals, and (ii) for information returned in response to the querying, present the returned information to the user in the current operating context to enable the user to use the presented information in connection with the task,

wherein automatically responding to the trigger signals includes, in response to one trigger signal, both (i) querying one of the external data sources and receiving returned information in response to the querying, and (ii) presenting the returned information to the user in the current operating context to enable the user to use the presented information in connection with the task,

and wherein the returned information is presented asynchronously with respect to a sequence of operations being performed by the user,

and wherein the metadata are organized into use-case metadata and information metadata, the use-case metadata describing (i) the current operating context for the user, (ii) an association of the user with other users, and (iii) dependencies for an official procedure, project plan, or policy, the information metadata describing the information returned from the external data sources and being used to manage the external access for efficient operation.