Microsoft Technology Licensing, LLC

Maluuba Inc.

Matthew Mitchell Dixon

Mahmoud Adada

Jonathan David Morrison

Andrew James McNamara

Geoffrey Jacoby Gordon

Soroush Mehri

Mohamed Musbah

Tareq Ismail

Justin Harris

Zhiyuan Wu

Petar Cota

This document relates to techniques for addressing disruptions that prevent applications from receiving user input, prevent users from providing input to an application, and/or prevents or impacts users from receiving application output. One example method involves detecting a disruption to an interactive application during interaction by a user with the interactive application, generating automated user inputs, and providing the automated user inputs to the interactive application during the disruption to the interactive application.

Providing automated user input to an application

Providing automated user input to an application during a disruption

A server, method, and non-transitory computer readable medium for ranking a plurality of data sources are provided. The server includes a network interface, a memory storage unit and a processor. The method involves sending a test message, monitoring an external network for a response to the test message, determining whether a service level is satisfied and adjusting the rank of the data source. The non-transitory computer readable medium is encoded with programming instructions to direct a processor to carry out the method.

Server and method for ranking data sources

A computer-implemented method, system using at least one computing device, and computer program product are disclosed for linking an ontology provided by a content service with a word expansion ontology. The content service ontology is referred to as a category ontology and the word expansion ontology is referred to herein as a lexical ontology. A user may provide an input such as an input command to an application. The input command is processed by a natural language processing engine to derive the user's intent and to extract relevant entities embodied in the command. The NLP engine may create a composite concept set containing multiple permutations of the concepts (entities extracted) and provide the composite concept set to a concept mapper. The concept mapper applies searches an ontology map and applies one or more scoring operations to determine a best match between the composite concept set and at least one category provided by the category ontology. The content service is searched using the category and the results are displayed to the user.

Linking ontologies to expand supported language

Growing community of inventors

Westmount, Canada

Matthew Mitchell Dixon