In-memory approach to extend semantic event processing with domain insights

• US 9,459,939 B2
• Filed: 11/14/2014
• Issued: 10/04/2016
• Est. Priority Date: 11/14/2014
• Status: Active Grant

• Current Assignee: Business Objects Incorporated (SAP SE)
• Original Assignee: Business Objects Incorporated (SAP SE)
• Inventors: Song, Yuqian
• Primary Examiner(s): Nguyen, Phillip H
• Application Number:
  US14/541,749
• Publication Number:
  US 20160139969A1
• Time in Patent Office: 690 Days
• Field of Search: 719/318, 706/45
• US Class Current: 1/1
• CPC Class Codes: G06F 16/9537 Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
• CPC Class Codes: G06F 9/542 Event management; Broadcasting; Multicasting; Notifications
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: G06N 5/02 Knowledge representation; Symbolic representation
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling

Abstract

A method, medium, and system to receive an event stream, the event stream including a plurality of events, the events being semantically modeled; receive domain insights specifying a relationship between two events, the domain insights being semantically modeled and defined by a specified time limit and a comparison of event attributes using the specified time limit with a logical operator; retrieve stored representations of events referenced in the received domain insights; process the event stream, the received domain insights, and the retrieved stored events to produce a temporal processing result; and store the temporal processing result.

Claims

1. A method implemented by a computing system in response to execution of program instructions by a processor of the computing system, the method comprising:

receiving an event stream, the event stream comprising a plurality of events, the events being semantically modeled using Resource Description Framework (RDF) specification;

receiving domain insights specifying a relationship between a first event and a second event of the plurality of events, the domain insights being semantically modeled using RDF specification and comprising a specified time limit and a comparison of a start time or an end time of the first event and a start time or an end time of the second event using a combination of the specified time limit with a logical operator;

retrieving stored representations of events referenced in the received domain insights;

processing the event stream, the received domain insights, and the retrieved stored representations of events to produce a temporal processing result;

storing the temporal processing result; and

dispatching the temporal processing result, wherein the dispatched temporal processing result is used for at least one of guidance in a business process and producing a business report.

2. The method of claim 1, wherein the temporal relationship specified by the received domain insights includes at least one of an uncertain beginning and an uncertain ending for at least one event.

3. The method of claim 1, wherein the semantically modeled events in the received event stream are defined based on a series of semantically modeled occurrences.

4. The method of claim 1, wherein the received domain insights are defined based on three operators including a DURING operator, an AFTER operator specifying the time limit, and a FILTER operator specifying the time limit.

5. The method of claim 1, further comprising associating a uniquely identifiable identifier with the temporal processing result.

6. The method of claim 1, wherein the retrieving of the stored events and the storing of the temporal processing result is performed by an instance of an in-memory database system.

7. The method of claim 1, wherein the receiving of the domain insights, the retrieving of the stored events, the processing the event stream, and the storing of the temporal processing result is repeated for at least one of a specified time interval and until an exhaustion of temporal event generation.

8. A non-transitory medium storing processor-executable program instructions, the program instructions executable by a computer to:

receive an event stream, the event stream comprising a plurality of events, the events being semantically modeled using Resource Description Framework (RDF) specification;

receive domain insights specifying a relationship between a first event and a second event of the plurality of events, the domain insights being semantically modeled using RDF specification and comprising a specified time limit and a comparison of a start time or an end time of the first event and a start time or an end time of the second event using a combination of the specified time limit with a logical operator;

retrieve stored representations of events referenced in the received domain insights;

process the event stream, the received domain insights, and the retrieved stored representations of events to produce a temporal processing result;

store the temporal processing result; and

dispatching the temporal processing result, wherein the dispatched temporal processing result is used for at least one of guidance in a business process and producing a business report.

9. The medium of claim 8, wherein the temporal relationship specified by the received domain insights includes at least one of an uncertain beginning and an uncertain ending for at least one event.

10. The medium of claim 8, wherein the semantically modeled events in the received event stream are defined based on a series of semantically modeled occurrences.

11. The medium of claim 8, wherein the received domain insights are defined based on three operators including a DURING operator, an AFTER operator specifying the time limit, and a FILTER operator specifying the time limit.

12. The medium of claim 8, further comprising associating a uniquely identifiable identifier with the temporal processing result.

13. The medium of claim 8, wherein the retrieving of the stored events and the storing of the temporal processing result is performed by an instance of an in-memory database system.

14. The medium of claim 8, wherein the receiving of the domain insights, the retrieving of the stored events, the processing the event stream, and the storing of the temporal processing result is repeated for at least one of a specified time interval and until an exhaustion of temporal event generation.

15. A system comprising;

a computing device comprising;

a memory storing processor-executable program instructions; and

a processor to execute the processor-executable program instructions to cause the computing device to;

receive an event stream, the event stream comprising a plurality of events, the events being semantically modeled using Resource Description Framework (RDF) specification;

receive domain insights specifying a relationship between a first event and a second event of the plurality of events, the domain insights being semantically modeled using RDF specification and comprising a specified time limit and a comparison of a start time or an end time of the first event and a start time or an end time of the second event using a combination of the specified time limit with a logical operator;

retrieve stored representations of events referenced in the received domain insights;

process the event stream, the received domain insights, and the retrieved stored representations of events to produce a temporal processing result;

store the temporal processing result; and

dispatching the temporal processing result, wherein the dispatched temporal processing result is used for at least one of audience in a business process and producing a business report.

16. The system of claim 15, wherein the temporal relationship specified by the received domain insights includes at least one of an uncertain beginning and an uncertain ending for at least one event.

17. The system of claim 15, wherein the received domain insights are defined based on three operators including a DURING operator, an AFTER operator specifying the time limit, and a FILTER operator specifying the time limit.

18. The system of claim 15, further comprising associating a uniquely identifiable identifier with the temporal processing result.

19. The system of claim 15, wherein the retrieving of the stored events and the storing of the temporal processing result is performed by an instance of an in-memory database system.

20. The system of claim 15, wherein the receiving of the domain insights, the retrieving of the stored events, the processing the event stream, and the storing of the temporal processing result is repeated for at least one of a specified time interval and until an exhaustion of temporal event generation.