Microsoft Technology Licensing, LLC

Bryan John Miller

Shrey Nitin Shah

Gerald Haslhofer

Timothy C Franklin

Eric Anderson

Nabeel Shahzad

Bharath Cheluvaraju

In non-limiting examples of the present disclosure, systems, methods and devices for generating searchable data structures using observational context data are provided. An indication to process observational context data surfaced by a local computing device may be received. The observational context data may comprise display data or audio data. The observational context data may be processed by a context analysis engine. A determination may be made of a current context type occurring on the local computing device. The current context type may be determined from a plurality of context types, each having a semantic data structure comprising a unique set of entity types. A canvas comprising a searchable data structure of the current context type may be generated and populated with objects having entity types corresponding to the current context type. A displayable representation of the canvas may be displayed.

Context-aware observational entity recognition and capture

Approaches for aggregating data prior to a transmission of the data to an external system are disclosed. The method includes receiving a data bag. The data bag including data packets destined to be transmitted to an external system. A timer even is then attached to the received data bag and the received data bag is temporarily stored in a data store. The timer event associated with the received data bag is then overridden based on the timer event associated with another data bag in the data store.

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Bryan John Miller