GENERATING CONTEXTUAL INSIGHTS FROM DEPLOYED APPLICATIONS IN MULTIPLE COMPUTING DEVICES

• US 20180276287A1
• Filed: 03/22/2017
• Published: 09/27/2018
• Est. Priority Date: 03/22/2017
• Status: Active Application

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Kurian, John, Lobo, Alwyn R., Ramalingam, Ramkumar, Sampath Kumaran, Venkatakrishnan
• Application Number:
  US15/465,677
• Publication Number:
  US 20180276287A1
• Time in Patent Office: Days
• CPC Class Codes: G06F 16/2465 Query processing support for facilitating data mining operations in structured databases
• CPC Class Codes: G06F 16/26 Visual data mining; Browsing structured data
• CPC Class Codes: G06F 16/30 of unstructured textual data document management systems G06F16/93
• CPC Class Codes: G06F 16/907 Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
• CPC Class Codes: G06F 16/95 Retrieval from the web
• CPC Class Codes: G06F 8/60 Software deployment
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: H04L 51/00 User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail
• CPC Class Codes: H04L 67/02 based on web technology, e.g. hypertext transfer protocol [HTTP]
• CPC Class Codes: H04L 67/10 in which an application is distributed across nodes in the network software deployment G06F8/60; multiprogramming arrangements G06F9/46

Abstract

A mashup system and method for providing contextual insights and notifications regarding a plurality of deployed applications deployed across a plurality of devices is provided. The method includes the steps of retrieving application data of the plurality of deployed applications generated by the plurality of devices, which is stored on a central cloud storage repository, identifying an application data associated with the first deployed application using a pre-defined data mining template corresponding to the first deployed application, and an application data associated with the second deployed application using a pre-defined data mining template corresponding to the second deployed application, and analyzing, the application data associated with the first deployed application and the application data associated with the second deployed application along with a user specific information to provide one or more contextual insights or notifications to the user on a single display associated with the computing system.

Claims

1. A method for providing contextual insights and notifications regarding a plurality of deployed applications deployed across a plurality of devices, the method comprising:

retrieving, by a processor of a computing system, application data of the plurality of deployed applications generated by the plurality of devices, which is stored on a central cloud storage repository, wherein the plurality of devices each include a first deployed application and a second deployed application;

identifying, by the processor, an application data associated with the first deployed application using a pre-defined data mining template corresponding to the first deployed application, and an application data associated with the second deployed application using a pre-defined data mining template corresponding to the second deployed application; and

analyzing, by the processor, the application data associated with the first deployed application and the application data associated with the second deployed application along with a user specific information to provide one or more contextual insights or notifications to the user on a single display associated with the computing system.

2. The method of claim 1, wherein the application data is stored on the central cloud repository in an industry standard format.

3. The method of claim 1, wherein the one or more contextual insights or notifications are presented to the user on a dashboard having a first interface portion dedicated to the application data associated with the first deployed application and a second interface portion dedicated to the application data associated with the second deployed application, so that a user views the application data, from the first deployed application and the second deployed application generated by the plurality of connected devices, on the single display associated with the computing system.

4. The method of claim 1, wherein the user specific information is selected from the group consisting of:

a geographical location of the user, a user history of the first deployed application and the second deployed location, a preference of the user, a relationship to the plurality of connected devices, a privacy setting of the user, a home location of the user, a work environment of the user, an office location of the user, a schedule of the user, and a combination thereof.

5. The method of claim 3, wherein the one or more contextual insights or notifications vary depending a selected user specific information, and the dashboard is customizable based on an application preference.

6. The method of claim 1, further comprising:

additionally identifying, by the processor, an application data associated with a third deployed application using a pre-defined data mining template corresponding to the third deployed application, and an application data associated with a fourth deployed application using a pre-defined data mining template corresponding to the fourth deployed application;

wherein the third deployed application and the fourth deployed application are deployed on a smart device.

7. The method of claim 6, wherein a device of the plurality of device is a computing device capable of network connectivity, and the smart device is a physical device capable of network connectivity.

8. A computer system, comprising:

a processor;

a memory device coupled to the processor; and

a computer readable storage device coupled to the processor, wherein the storage device contains program code executable by the processor via the memory device to implement a method for providing contextual insights and notifications regarding a plurality of deployed applications deployed across a plurality of devices, the method comprising;

retrieving, by a processor of a computing system, application data of the plurality of deployed applications generated by the plurality of devices, which is stored on a central cloud storage repository, wherein the plurality of devices each include a first deployed application and a second deployed application;

identifying, by the processor, an application data associated with the first deployed application using a pre-defined data mining template corresponding to the first deployed application, and an application data associated with the second deployed application using a pre-defined data mining template corresponding to the second deployed application; and

analyzing, by the processor, the application data associated with the first deployed application and the application data associated with the second deployed application along with a user specific information to provide one or more contextual insights or notifications to the user on a single display associated with the computing system.

9. The computer system of claim 8, wherein the application data is stored on the central cloud repository in an industry standard format.

10. The computer system of claim 8, wherein the one or more contextual insights or notifications are presented to the user on a dashboard having a first interface portion dedicated to the application data associated with the first deployed application and a second interface portion dedicated to the application data associated with the second deployed application, so that a user views the application data, from the first deployed application and the second deployed application generated by the plurality of connected devices, on the single display associated with the computing system.

11. The computer system of claim 8, wherein the user specific information is selected from the group consisting of:

a geographical location of the user, a user history of the first deployed application and the second deployed location, a preference of the user, a relationship to the plurality of connected devices, a privacy setting of the user, a home location of the user, a work environment of the user, an office location of the user, a schedule of the user, and a combination thereof.

12. The computer system of claim 10, wherein the one or more contextual insights or notifications vary depending a selected user specific information, and the dashboard is customizable based on an application preference.

13. The computer system of claim 8, further comprising:

additionally identifying, by the processor, an application data associated with a third deployed application using a pre-defined data mining template corresponding to the third deployed application, and an application data associated with a fourth deployed application using a pre-defined data mining template corresponding to the fourth deployed application;

wherein the third deployed application and the fourth deployed application are deployed on a smart device.

14. The computer system of claim 13, wherein a device of the plurality of device is a computing device capable of network connectivity, and the smart device is a physical device capable of network connectivity.

15. A computer program product, comprising a computer readable hardware storage device storing a computer readable program code, the computer readable program code comprising an algorithm that when executed by a computer processor of a computing system implements a method for providing contextual insights and notifications regarding a plurality of deployed applications deployed across a plurality of devices, comprising:

retrieving, by a processor of a computing system, application data of the plurality of deployed applications generated by the plurality of devices, which is stored on a central cloud storage repository, wherein the plurality of devices each include a first deployed application and a second deployed application;

identifying, by the processor, an application data associated with the first deployed application using a pre-defined data mining template corresponding to the first deployed application, and an application data associated with the second deployed application using a pre-defined data mining template corresponding to the second deployed application; and

analyzing, by the processor, the application data associated with the first deployed application and the application data associated with the second deployed application along with a user specific information to provide one or more contextual insights or notifications to the user on a single display associated with the computing system.

16. The computer program product of claim 15, wherein the application data is stored on the central cloud repository in an industry standard format.

17. The computer program product of claim 15, wherein the one or more contextual insights or notifications are presented to the user on a dashboard having a first interface portion dedicated to the application data associated with the first deployed application and a second interface portion dedicated to the application data associated with the second deployed application, so that a user views the application data, from the first deployed application and the second deployed application generated by the plurality of connected devices, on the single display associated with the computing system.

18. The computer program product of claim 15, wherein the user specific information is selected from the group consisting of:

a geographical location of the user, a user history of the first deployed application and the second deployed location, a preference of the user, a relationship to the plurality of connected devices, a privacy setting of the user, a home location of the user, a work environment of the user, an office location of the user, a schedule of the user, and a combination thereof.

19. The computer program product of claim 15, further comprising:

additionally identifying, by the processor, an application data associated with a third deployed application using a pre-defined data mining template corresponding to the third deployed application, and an application data associated with a fourth deployed application using a pre-defined data mining template corresponding to the fourth deployed application;

wherein the third deployed application and the fourth deployed application are deployed on a smart device.

20. The computer program product of claim 19, wherein a device of the plurality of device is a computing device capable of network connectivity, and the smart device is a physical device capable of network connectivity.