Patent Document ID: 8762134
Application ID: 14023056

Base Claim:
1. A method for generating a situational analysis text that linguistically expresses contextual information related to an alert condition, the method comprising: assigning at least one data channel on which the alert condition was identified as a primary data channel; assigning one or more data channels that are identified as related to the primary data channel 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, using a processor, a set of messages based on one or more key events in the primary data channel and one or more significant events in the one or more related data channels, wherein at least one message in the set of messages corresponds to at least one of the one or more of the key events or the one or more significant events and is expressible as a simple sentence; generating a tree-structured object that selects and orders at least a portion of the set of messages, wherein the at least the portion of the set of messages are selected based on the one or more key events and one or more significant events and are ordered based on a text schema; and refining the tree-structured object based on domain constraints, wherein the situational analysis text is generated based on a realization of the tree-structured object; and generating the situational analysis text based on the set of messages and a relationship between them, wherein the situational analysis text is configured to linguistically express contextual information related to the alert condition using 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.

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Claim 2:
2. The method of claim 1 further comprising: identifying the one or more related data channels based on a domain model that provides an indication of relationships between data channels; detecting one or more patterns in the primary data channel by: identifying one or more patterns wherein a pattern is at least one of a trend, spike or step in a data channel; assigning an importance level to the one or more patterns; and identifying one or more key events of the one or more patterns, wherein a key event is a pattern that exceeds a predefined importance level; and identifying one or more patterns in the one or more related data channels by: assigning an importance level to one or more patterns; and identifying one or more significant events of the one or more patterns, wherein a significant event is a pattern that exceeds a predefined importance level.