US 10,319,376 B2Granted

Geo-spatial event processing

AssigneeAvaya Inc.

InventorsGeorge William Erhart, Valentine C. Matula, David Joseph Skiba

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Abstract

A geo-spatial grammar comprises rules, syntax, and other means by which a data input is determined to have a meaning associated with a particular event. The event may then be provided to an application, such as a calendaring or messaging application. As a benefit, an input, such as a user speaking the phrase, “I'll be there in an hour,” may be interpreted, via the geo-spatial grammar, as an event (e.g., “I'll be in the office,” “I'll join you for dinner,” “I'll be home,” etc.). An application may then perform an action based upon the event (e.g., reschedule the meeting that starts in five minutes, present directions to the restaurant on the user's car's navigation system, notify the user's spouse, etc.).

Claims20

Dependent claims

A system, comprising:

a data storage;
a processor;
a communication interface that facilitates electronic communication with the processor;
and
the processor being programmed to:
receive, via the communication interface, a geo-spatial datum;
select a geo-spatial grammar in accordance with the geo-spatial datum, from the data storage comprising a number of geo-spatial grammars, and wherein each of the number of geo-spatial grammars comprises a rule providing an expected behavior of a user for a time and a location in accordance with a user input, wherein at least one geo-spatial grammar of the number of geo-spatial grammars has a word having a dissimilar meaning from the word of a different geo-spatial grammar of the number of geo-spatial grammars, the meaning of the word being determined by the rule;
receive the user input from the user;
process the user input, that matches the word, in accordance with the rule of the selected geo-spatial grammar to produce an event;
and
cause the event to be output.

8 more elements

Dependencies are inferred from the claim text.

Facts

Application: 14/690,649Filed 20 Apr 2015 · continuation in part
Priority: 17 Sep 2009
Published: US 2015/0364134 A117 Dec 2015
Granted: 11 Jun 2019
Term ends: Not estimatedThe source records don’t support an estimate.

Classification6 codes

G10L 15/19
Using context dependencies, e.g. language models: grammatical context, e.g. disambiguation of the recognition hypotheses based on word sequence rules
G06F 40/30
Handling natural language data: semantic analysis
G10L 15/22
Speech recognition: procedures used during a speech recognition process, e.g. man-machine dialogue
G10L 2015/228
Using non-speech characteristics: of application context

Family

Application12/561,459Parent of this continuation-in-part · filed 17 Sep 2009
US 2015/0364134 A1Pre-grant publication · published 17 Dec 2015
US 2011/0066423 A1Published application
US 10,319,376 B2This patent

From the US filing history. Foreign family members aren’t listed.

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