Microsoft Technology Licensing, LLC

Fan Zhong

Itai Almog

Donovan P Lange

Chad Erik Fowler

Keith Arthur Fournier, Ii

Ryan Levick

Nick Barnwell

Keith Arthur Ii Fournier

Donovan Paul Lange

A notes service receives note items produced by various software applications. Each of the note items may comprise metadata, context data, and content representative of a note. The notes service, for each of the note items, stores a given note item in a note repository and updates a graph based at least on the metadata, the context data, and the content for the given note. As the notes service receives queries from the various software applications obtain relevant ones of the note items from the note repository, the service searches the graph for one or more note items relevant to a given query. The one or more notes are retrieved from the repository and provided in reply to the requesting application.

Systems, methods, and software for implementing a notes service

Smart reminders are generated from input according to lexical and contextual cues. The input may be entered into any suitable application via any suitable electronic device. The input may be processed by a natural language processor to determine whether to convert the input into a smart reminder. In this way, the input of the note may be parsed to identify entities, such as entities associated with one or more people, relevant time(s), action(s), instruction(s), etc., for creating the smart reminder. The identified entities may then be used as triggers for displaying the smart reminder at an appropriate time to a user. A trigger such as detecting a person associated with the input, e.g., by receiving an incoming call from the person, connecting to the same network as the person, receiving a text from the person, or detecting the voice of the person, may cause the smart reminder to be displayed.

Smart reminder generation from input

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Fan Zhong