Alias-based access of entity information over voice-enabled digital assistants

Abstract

In one embodiment, a domain-name based framework implemented in a digital assistant ecosystem uses domain names as unique identifiers for request types, requesting entities, responders, and target entities embedded in a natural language request. Further, the framework enables interpreting natural language requests according to domain ontologies associated with different responders. A domain ontology operates as a keyword dictionary for a given responder and defines the keywords and corresponding allowable values to be used for request types and request parameters. The domain-name based framework thus enables the digital assistant to interact with any responder that supports a domain ontology to generate precise and complete responses to natural language based requests.

What is claimed is: 
     
         1 . A computer-implemented method for processing natural language requests, the method comprising:
 identifying a set of words included in a first natural language request received at a digital assistant;   determining that at least one word in the set of words comprises an alias associated with a unique entity identifier of an entity;   identifying, based on the set of words, a responder;   transforming the first natural language request into a request related to the entity, wherein the request comprises a uniform resource locator (URL) request that includes one or more words based on the first natural language request; and   transmitting the transformed request including the URL request to the identified responder.