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 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 systems and methods for notifying entities of relevant events. An entity defines a rule formula that is triggered when one or more detected events match the rule formula including defining one or more event types and one or more locations types. A boundary associated with a selected location type is also received along with a monitoring area. The received elements are combined into the rule formula notification preferences are associated with the defined rule. One or more events are detected and then compared to the rule formula to determine if the combination of one or more event types occurred within the boundary of the one or more location types within the area.

Abstract: The invention extends to methods, systems, and computer program products for deriving signal location information. A raw signal is ingested and normalized, including deriving a partially normalized signal. The partially normalized signal can be a signal including a Time, a Context and possibly a non-dispositive location hint. A list of one or more geo cells where the raw signal potentially originated is accessed. In one aspect, the one or more geo cells are accessed based on the non-dispositive location hint. A location annotation identifying a geo cell from among the one or more geo cells is formulated. The partially normalized signal can be annotated with the location annotation. A location in a two dimensional space is determined from the location annotation. The location is inserted into the partially normalized signal forming a fully normalized signal. The fully normalized signal can include a Time, a Location, and a Context.

Abstract: The present invention extends to methods, systems, and computer program products for detecting events from features derived from ingested signals. In one aspect, an event detection infrastructure determines that characteristics of multiple (and possibly private and/or non-private) signals, when considered collectively, indicate an event of interest to one or more parties. In another aspect, an evaluation module determines that characteristics of one or more (possibly private and/or non-private) signals indicate a possible event of interest to one or more parties. A validator then determines that characteristics of one or more other (possibly private and/or non-private) signals validate the possible event as an actual event of interest to the one or more parties. Signal features can be used to compute probabilities of events occurring.

Abstract: The present invention extends to methods, systems, and computer program products for deriving signal location information. In general, signal ingestion modules ingest different types of raw signals and normalize the raw signals to form normalized signals. In one aspect, a raw signal is ingested. A partially normalized 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 partially normalized signal is annotated with the location annotation. In another aspect, a location annotation identifying a geo cell is formulated. A partially normalized 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 partially normalized signal to form at fully normalized signal.

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 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 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 ingesting streaming signals. Signal ingestion modules sample a plurality of frames contained in a raw streaming signal. The signal ingestion modules separate the raw streaming signal into a plurality of segments. It is determined that content in the plurality of sampled frames indicates a possible event type. The signal ingestion modules replay a segment, from among the plurality of segments, in response to determining the indicated possible event. The content of the segment is inspected during replay of the segment. The possible event type is confirmed or not confirmed as an actual event type based on the inspection. When confirmed, a context dimension of the streaming signal is updated to include the event type.