Method and apparatus for situational analysis text generation

• US 10,769,380 B2
• Filed: 03/18/2016
• Issued: 09/08/2020
• Est. Priority Date: 08/30/2012
• Status: Active Grant

• Current Assignee: Arria Data2text Limited
• Original Assignee: Arria Data2text Limited
• Inventors: Reiter, Ehud B.
• Primary Examiner(s): Vo, Huyen X
• Assistant Examiner(s): Nguyen, Timothy
• Application Number:
  US15/074,425
• Publication Number:
  US 20160328385A1
• Time in Patent Office: 1,635 Days
• Field of Search: 704 9
• CPC Class Codes: G06F 40/154 Tree transformation for tree-structured or markup documents, e.g. XSLT, XSL-FO or stylesheets
• CPC Class Codes: G06F 40/169 Annotation, e.g. comment data or footnotes
• CPC Class Codes: G06F 40/30 Semantic analysis
• CPC Class Codes: G06F 40/40 Processing or translation of natural language natural language analysis G06F40/20; semantic analysis G06F40/30
• CPC Class Codes: G06F 40/56 Natural language generation
• CPC Class Codes: G08B 21/18 Status alarms G08B21/02 takes precedence

Abstract

Methods, apparatuses, and computer program products are described herein that are configured to generate a situational analysis text. In some example embodiments, a method is provided that comprises generating a set of messages based on one or more key events in a primary data channel and one or more significant events in one or more related data channels in response to an alert condition. The method of this embodiment may also include generating a situational analysis text based on the set of messages and the relationships between them. In some example embodiments, the situational analysis text is configured to linguistically express the one or more key events, the one or more significant events, and the relationships between the one or more key events and the one or more significant events.

Claims

1. A computer-implemented method for generating a situational analysis text by transforming data that is expressed in a non-linguistic format into a format that can be expressed linguistically in a situational analysis text, the method comprising:

assigning, by a processor and in response to an identification of an alert condition, at least one data channel on which the alert condition was identified, as a primary data channel;

determining, by the processor and in response to the identification of the alert condition, whether one or more additional data channels that are identified as related to the primary data channel are to be assigned as one or more related data channels, wherein the one or more related data channels are a subset of one or more monitored data channels;

generating a data structure representing a refined order of a plurality of messages instantiated based on the primary data channel and the one or more related data channels, the refined order based on the identified alert condition; and

generating, using a natural language generation system that is configured to execute on the processor, the situational analysis text for display via a computing device, the situational analysis text generated based at least on the data structure, wherein at least a portion of the situational analysis text is generated in response to the identification of the alert condition.

2. The method according to claim 1, wherein the situational analysis text is further configured to express at least one of a proximate cause of the alert condition or an explanation of a diagnosis of the alert condition.

3. The method according to claim 1, wherein the situational analysis text is further generated based on data in the one or more related data channels in an instance in which one or more the one or more additional data channels are determined to be related to the primary data channel.

4. The method according to claim 1, further comprising:

determining, by the processor, one or more causes of the alert condition; and

causing, by the processor, one or more related data channels to be selected that correspond to the one or more causes of the alert condition, wherein the situational analysis text is further configured to linguistically express the one or more causes of the alert condition.

5. The method according to claim 1, further comprising:

determining, by the processor, that a relationship exists between the primary data channel and the one or more related data channels in an instance in which one or more of the one or more additional data channels are determined to be related to the primary data channel;

determining, by the processor, an expression that linguistically describes the relationship between the primary data channel and the one or more related data channels; and

causing, by the processor, the expression to be expressed linguistically in the situational analysis text.

6. The method according to claim 1, further comprising:

accessing, by the processor, at least one of historical data or event data for the primary data channel and the one or more related data channels; and

causing, by the processor, the at least one of the historical data or the event data to be expressed linguistically in the situational analysis text.

7. The method according to claim 6, wherein the historical data further comprises at least one of a previous event, contextual information, background information, or actions taken during a previous instance of the alert condition.

8. The method according to claim 6, wherein the historical data is related to a historical alert condition other than the alert condition.

9. The method according to claim 1, wherein the situational analysis text is further configured to comprise at least one of coherent text describing the alert condition, one or more events, or a history of the alert condition or related alert conditions.

10. The method according to claim 1, further comprising generating, using a natural language generation system that is configured to execute on the processor, a graph based at least on the data in the primary data channel, wherein a scale for the graph is determined based on one or more events in at least one of the primary data channel or the one or more related data channels.

11. The method according to claim 10, wherein the graph further comprises one or more textual annotations.

12. The method according to claim 10, wherein the graph is further generated based on data in the one or more related data channels in an instance in which one or more of the one or more additional data channels are determined to be related to the primary data channel.

13. The method according to claim 1, wherein the at least one additional data channel comprises machine status data identified as related to the primary data channel.

14. An apparatus for generating a situational analysis text that is configured to transform underlying data that is expressed in a non-linguistic format into a format that can be expressed linguistically in a situational analysis text, the apparatus comprising at least one processor;

and at least one memory including computer program code, at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to;

access, using a data analyzer that is stored in the at least one memory and executed on the at least one processor input raw data from one or more monitored data channels over a network and to identify, in response to an identification of an alert condition, at least one data channel of the one or more monitored data channels as the primary data channel based on the identification of the alert condition, wherein the data analyzer is further configured to determine, in response to the identification of the alert condition, whether one or more additional data channels that are to be assigned as one or more related data channels, wherein the one or more related data channels are a subset of one or more monitored data channels;

generate, using a data interpreter that is stored in the memory and executed on the processor, from the input raw data, language independent data structures that collect underlying data in the primary data channel and the one or more related data channels such that the underlying data is linguistically expressible, wherein the language independent data structures represent a refined order of the underlying data in the primary data channel and the one or more related data channels, and wherein the refined order is based on the identified alert condition; and

input, using a natural language generation system that is stored in the memory and executed on the processor, the one or more generated language independent data structures to determine the content of the situational analysis text, wherein the situational analysis text is generated for display via a computing device based at least on the data in the primary data channel and at least one of the one or more related data channels, and wherein at least a portion of the situational analysis text is generated in response to the identification of the alert condition.

15. The apparatus according to claim 14, wherein the situational analysis text is further configured to express at least one of a proximate cause of the alert condition or an explanation of a diagnosis of the alert condition.

16. The apparatus according to claim 14, wherein the situational analysis text is further generated based on data in the one or more related data channels in an instance in which one or more of the one or more additional data channels are determined to be related to the primary data channel.

17. The apparatus according to claim 14, wherein the data interpreter is further configured to generate language independent data structures based on at least one of historical data or event data for the primary data channel and the one or more related data channels, wherein the language independent data structures are configurable to cause the at least one of the historical data or the event data to be expressed linguistically in the situational analysis text.

18. The apparatus according to claim 17, wherein the historical data is related to a historical alert condition other than the alert condition.

19. The apparatus according to claim 14, wherein the situational analysis text is further configured to comprise at least one of coherent text describing the alert condition, one or more events, or a history of the alert condition or related alert conditions.

20. The apparatus according to claim 14, wherein a scale for a graph is determined based on the one or more related data channels and wherein the graph is further generated based on machine status data in the one or more related data channels in an instance in which the one or more additional data channels are determined to be related to the primary data channel.

21. The apparatus according to claim 20, wherein the graph further comprises one or more textual annotations.