Model-driven event detection, implication, and reporting system

• US 20060230071A1
• Filed: 03/22/2006
• Published: 10/12/2006
• Est. Priority Date: 04/08/2005
• Status: Active Grant

• Current Assignee: Accenture Global Services Limited (Accenture PLC)
• Original Assignee: Accenture Global Services GmbH (Accenture PLC)
• Inventors: Kass, Alex, Hughes, Lucian P., Sheth, Neil, Cowell-Shah, Christopher
• Granted Patent: US 7,523,137 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/2465 Query processing support for facilitating data mining operations in structured databases
• CPC Class Codes: G06Q 10/00 Administration; Management
• CPC Class Codes: Y10S 707/99942 Manipulating data structure, e.g. compression, compaction, compilation
• CPC Class Codes: Y10S 707/99945 Object-oriented database structure processing
• CPC Class Codes: Y10S 707/99948 Application of database or data structure, e.g. distributed, multimedia, or image

Abstract

An event analysis system monitors information available from both publicly and privately distributed networks of information for events that are relevant to the user'"'"'s particular business concerns. Those concerns are defined in a customized model of the user'"'"'s organization and external business environment. The system receives the information, detects events in the information, interprets the events, and determines implications of these events. The detection and implication proceeds with regard to specific entities, relationships between entities, and definitions of the types of events which may occur in the environment in which the entities exist. Accordingly, the analysis system intelligently adapts its processing to recognize and report events which may be of interest for any particular entity.

Claims

1. An event analysis system comprising:

a network interface;

an information database comprising articles received through the network interface from an information source;

a memory comprising;

an event detection engine;

an event implication engine; and

a processor coupled to the memory and the network interface which is operable to;

receive the articles;

initiate execution of the event detection engine on the articles to detect an event represented in the article and generate an event object according to a common event structure which is independent of the information source;

initiate execution of the event implication engine on the event object to determine an inferred event; and

generate a display of the event and the inferred event.

2. The event analysis system of claim 1, where the memory further comprises:

an event model which defines event attributes in the event object.

3. The event analysis system of claim 1, where the memory further comprises:

an environment model which defines entities, including a focus entity, and a relationship between the entities, and where the processor is further operable to;

determine whether any entities in the environment model are associated with the event; and

discard the event when no entity in the environment model is associated with the event.

4. The event analysis system of claim 1, where the memory further comprises:

an event implication model comprising a trigger constraint and a resulting implication, and where the event implication engine applies the event implication model to determine the resulting implication.

5. The event analysis system of claim 1, where the processor is further operable to:

create a new event object from the inferred event.

6. The event analysis system of claim 5, where the processor is further operable to:

apply the event implication engine to the new event object.

7. The event analysis system of claim 1, where the memory further comprises:

an information source model which specifies the information source.

8. The event analysis system of claim 1, further comprising:

an event database which stores the event object.

9. The event analysis system of claim 3, where the event detection engine is operable to:

apply a filter to determine whether the event object specifies an entity in the environment model.

10. The event analysis system of claim 9, where the event detection engine is further operable to:

apply a classification algorithm to the event object to determine an event type represented in the event object.

11. The event analysis system of claim 10, where the event detection engine is further operable to:

extract attributes specific to the event type from article text in the event object; and

store the attributes into attribute fields of the event object;

12. The event analysis system of claim 11, where the event object includes an event description, and where the event detection engine is operable to:

tokenize the event description to provide a tokenized description; and

tag tokens in the tokenized description with parts-of-speech to provide a tagged description.

13. The event analysis system of claim 12 where the event detection engine is further operable to:

perform named entity recognition on the tagged description;

parse the tagged description to identify grammatical structure; and

perform template matching to determine event attribute values for the event type.

14. The event analysis system of claim 2, where the memory further comprises an event modeling tool operable to display a user interface for modifying the event model.

15. The event analysis system of claim 3, where the memory further comprises an environment modeling tool operable to display a user interface for modifying the environment model.

16. The event analysis system of claim 4, where the memory further comprises an implication modeling tool operable to display a user interface for modifying the event implication model.

17. A method for event analysis comprising:

reading an information source model to determine an information source;

retrieving an article from the information source;

reading an environment model comprising entities, including a focus entity, and entity relationships;

initiating execution of an event detection engine on the article to detect an event represented in the article which is relevant to the event focus based on the entity relationship;

reading an event implication model; and

initiating execution of an event implication engine on the event object to determine an inferred event and an implication message which are relevant to the focus entity.

18. The method of claim 17, where reading an event implication model comprises:

reading a trigger constraint and a resulting implication.

19. The method of claim 18, where reading a trigger constraint comprises:

reading an event constraint and an attribute constraint on the event constraint.

20. The method of claim 17, further comprising:

creating a new event object from the inferred event.

21. The method of claim 20, further comprising:

storing the new event object in an event database; and

initiating execution of the event implication engine on the new event object.

22. The method of claim 17, further comprising:

determine an event type based on the article;

creating an event object of the event type, including an event description from the article; and

storing the event object in an event database.

23. The method of claim 22, where initiating execution of the event detection engine comprises:

initiating execution of a tokenizer on the event description to generate a tokenized description; and

tagging tokens in the tokenized description to provide a tagged description.

24. The method of claim 23, further comprising:

performing named entity recognition on the tagged description; and

performing template matching to determine event attribute values for the event type.

25. The method of claim 22, further comprising:

applying a classification algorithm to the event object to determine an event type represented in the event object.

26. The method of claim 25, further comprising:

reading an event model to determine event attributes for the event type; and

extracting values for the event attributes from the event object.

27. An event analysis system comprising:

a network interface;

an information database;

an event database;

a memory comprising;

an information source model;

an environment model which defines entities and relationships between entities;

an event model which defines events;

an event implication model an event detection engine;

an event implication engine; and

an event processing control program comprising instructions which;

read the information source model to determine information sources;

retrieve articles from the information sources and store the articles in the information database;

initiate execution of the event detection engine on the articles to detect events represented in the articles, generate event objects according to a common event structure which is independent of the information sources, and store the event objects in the event database;

initiate execution of the event implication engine on the event objects to determine an inferred event, generate a new event object from the inferred event, and store the new event object in the event database; and

initiate communication of the event objects including the inferred event to an external system subscribed to the event analysis system.

28. The event analysis system of claim 27, where the instructions which initiate communication comprise:

instructions which publish the event object to a message subscription/publication service.

29. The event analysis system of claim 27, where the event processing control program further comprises instructions which:

re-initiate execution of the event implication engine on the new event object, generate an additional event object, and store the additional event object in the event database.

30. The event analysis system of claim 27, where the event implication model comprises a trigger constraint and a resulting implications.

31. The event analysis system of claim 30, where the trigger constraint comprises an event constraint and an attribute constraint on the event constraint.

32. The event analysis system of claim 27, where the environment model comprises an entity relationship specifying a focus entity.

33. The event analysis system of claim 32, where the event detection engine is further operable to:

determine event entities associated with the events; and

filter the events based on presence of the event entities in the entity relationship.