Abstract: The present invention extends to methods, systems, and computer program products for detecting an event. A listening area is monitored based on detecting a potential event from a dimensionally reduced signal, based on characteristics of a dimensionally reduced signal, or based on a signal pattern anomaly. A geo cell database is queried with search terms derived from one or more normalized signals. A geo cell subset is returned from the geo cell database. The listening area is formed from the geo cells included in the geo cell subset and monitored for additional signals. An event is detected and/or validated (or rejected) based on the additional dimensionally reduced signal.

Abstract: The present invention extends to methods, systems, and computer program products for validating and supplementing emergency call information. A Public Safety Answering Point receives an emergency (e.g., 911) call from a mobile device. Parts of the emergency call are processed to identify an emergency call location. Characteristics of the emergency call are combined with characteristics of other signals to identify and emergency call event, including the emergency call location. The emergency call event is sent to the Public Safety Answering Point. Prior to receiving phase II data and possibly even prior to receiving phase I data, the Public Safety Answering Point receives the event. The Public Safety Answering Point tailors dispatch of emergency resources responding to the emergency call based on characteristics of the event, including the originating location.

Abstract: The present invention extends to methods, systems, and computer program products for normalizing insufficient signals based on additional information. A probability of an event occurring is detected from a raw signal. It is determined signal characteristics of the raw signal are insufficient to normalize the raw signal along at least one of: a time, location, or context dimension. In one aspect, an additional signal relevant to the signal is ingested. In another aspect, a previously detected event relevant to the signal is accessed from a geo cell database. The raw signal is normalized, including deriving at least one of: the time dimension, the location dimension, or the context dimension from a combination of the signal characteristics and characteristics of the other signal and/or characteristics of the previously detected event.

Abstract: The present invention extends to methods, systems, and computer program products for consolidating information from different signals into an event. Aspects of the invention used a multiphase approach to consolidating information from different signals into (e.g., deduplicating) an event. Detected events are held in the event holding cache for some amount of time after detection in accordance event holding criteria. As events are detected, an information consolidator compares currently detected events to previously cached events. Events determined to be the same event are grouped into an event group. When holding criteria expire for an event in the event group, the event group is published to one or more entities. As such, each new detection of the event does not trigger a corresponding new notification. Different portions of content from the same signal can also be monitored to reduce duplicate detections based on different content types in the same signal.

Abstract: The present invention extends to methods, systems, and computer program products for consolidating information from different signals into an event. Aspects of the invention used a multiphase approach to consolidating information from different signals into (e.g., deduplicating) an event. Detected events are held in the event holding cache for some amount of time after detection in accordance event holding criteria. As events are detected, an information consolidator compares currently detected events to previously cached events. Events determined to be the same event are grouped into an event group. When holding criteria expire for an event in the event group, the event group is published to one or more entities. As such, each new detection of the event does not trigger a corresponding new notification. Different portions of content from the same signal can also be monitored to reduce duplicate detections based on different content types in the same signal.

Abstract: The present invention extends to methods, systems, and computer program products for validating and supplementing emergency call information. A Public Safety Answering Point receives an emergency (e.g., 911) call from a mobile device. Parts of the emergency call are processed to identify an emergency call location. Characteristics of the emergency call are combined with characteristics of other signals to identify and emergency call event, including the emergency call location. The emergency call event is sent to the Public Safety Answering Point. Prior to receiving phase II data and possibly even prior to receiving phase I data, the Public Safety Answering Point receives the event. The Public Safety Answering Point tailors dispatch of emergency resources responding to the emergency call based on characteristics of the event, including the originating location.

Abstract: The present invention extends to methods, systems, and computer program products for detecting an event. A listening area is monitored based on detecting a potential event from a normalized signal, based on characteristics of a normalized signal, or based on a signal pattern anomaly. A geo cell database is queried with search terms derived from one or more normalized signals. A geo cell subset is returned from the geo cell database. The listening area is formed from the geo cells included in the geo cell subset and monitored for additional signals. An event is detected and/or validated (or rejected) based on the additional normalized signal.

Abstract: The present invention extends to methods, systems, and computer program products for deriving signal location from signal content. In general, signal ingestion modules ingest different types of raw structured and/or raw unstructured signals on an ongoing basis. The signal ingestion modules normalize raw signals to form normalized signals. In one aspect, a raw signal is ingested. A derived signal is derived from the raw signal. A list of one or more geo cells where the raw signal potentially originated is accessed. A location annotation identifying a geo cell from among the one or more geo cells is formulated. The derived signal is annotated with the location annotation. A location in a two dimensional space is determined from the location annotation. The location is inserted into the derived signal forming a normalized signal.

Abstract: The present invention extends to methods, systems, and computer program products for detecting an event from signals in a listening area. Listening area formation is triggered based on detecting a potential event from a normalized signal, based on characteristics of a normalized signal, or based on a signal pattern anomaly. A geo cell database is queried with search terms derived from one or more normalized signals. A geo cell subset is returned from the geo cell database. A listening area is formed from the geo cells included in the geo cell subset. A listener monitors an additional normalized signal in the listening area. An event is detected and/or validated (or rejected) based on the additional normalized signal.

Abstract: The present invention extends to methods, systems, and computer program products for normalizing insufficient signals based on additional information. Evidence of an event is detected from a raw signal. It is determined signal characteristics of the raw signal are insufficient to normalize the raw signal along at least one of: a time, location, or context dimension into a Time, Location, Context (TLC) format. In one aspect, an additional raw signal related to the detected evidence is accessed from another signal source. In another aspect, a previously detected event related to the detected evidence is received from a geo cell database. The raw signal is normalized into the Time, Location, Context (TLC) format, including deriving at least one of: the time dimension, the location dimension, or the context dimension from a combination of the signal characteristics and characteristics of the other signal and/or characteristics of the previously detected event.

Abstract: The present invention extends to methods, systems, and computer program products for deriving signal location from signal content. A raw signal is ingested. A partially normalized signal is derived from the raw signal. One or more named entities are recognized from content included in the raw signal. A geo cell database is queried with the one or more recognized named entities. A geo cell where the raw signal originated is identified. The partially normalized signal is annotated with a location annotation identifying the geo cell. A location is determined from the location annotation. The location is inserted into the partially normalized signal to form a normalized signal.

Abstract: The present invention extends to methods, systems, and computer program products for validating and supplementing emergency call information. A Public Safety Answering Point receives an emergency (e.g., 911) call from a mobile device. Parts of the emergency call are processed to identify an emergency call location. Characteristics of the emergency call are combined with characteristics of other signals to identify and emergency call event, including the emergency call location. The emergency call event is sent to the Public Safety Answering Point. Prior to receiving phase II data and possibly even prior to receiving phase I data, the Public Safety Answering Point receives the event. The Public Safety Answering Point tailors dispatch of emergency resources responding to the emergency call based on characteristics of the event, including the originating location.

Abstract: The present invention extends to methods, systems, and computer program products for normalizing insufficient signals based on additional information. Evidence of an event is detected from a raw signal. It is determined signal characteristics of the raw signal are insufficient to normalize the raw signal along at least one of: a time, location, or context dimension into a Time, Location, Context (TLC) format. In one aspect, an additional raw signal related to the detected evidence is accessed from another signal source. In another aspect, a previously detected event related to the detected evidence is received from a geo cell database. The raw signal is normalized into the Time, Location, Context (TLC) format, including deriving at least one of: the time dimension, the location dimension, or the context dimension from a combination of the signal characteristics and characteristics of the other signal and/or characteristics of the previously detected event.