Oracle International Corporation

Saravanan Anandan

Sridhar Tadepalli

Kaarthik Balasubrahmanian

Donald Creig Humes

Kartik Raghavan

Ilisha Ramachandran

Raja V Penneru

Srikanth Doddadalivatta Venkatesh Prasad

Qian Rui Chow

Raja Penneru

Techniques for initiating system actions based on text content are disclosed. A system applies a semantic analysis model at run-time to human-understandable text to identify actionable content within the human-understandable text. The system analyzes metadata associated with the text to identify a mapping between one or more data objects associated and the semantic content in the text. The system identifies one or more contact lists associated, respectively, with the one or more data objects. Using a database schema, the system analyzes the contact lists to determine whether to modify the contact lists.

Text-triggered database and API actions

Systems, methods, and other embodiments associated with defining an adaptive model for conversational interaction are described herein. In one embodiment, a computer-implemented method includes semantically processing a conversational input to separate the input into a plurality of structural entities. The method also includes constructing a query of a data provider based on one or more of the structural entities and a query paradigm. The method also includes transmitting the query to the data provider for execution. The method further includes presenting the query results through a user interface.

Query construction from conversational inputs

Techniques for modifying rules for completing requests using a conversational interface are disclosed. A conversational interface receives a user request to perform a particular function. A system extracts semantic content from the request and obtains contextual metadata associated with the request. Using the semantic content and contextual metadata, the system generates a data set of attribute values. The system determines whether the data set matches a data set of required data attributes associated with the request. If the provided data set is different than the required data set, the system determines whether to modify a set of rules associated with the request. The set of rules specifies which attribute values are required to complete the request. When the system modifies the rules associated with the request, the system also determines whether to apply the rule modification to subsequent requests by the same user and other users.

Contextually-adaptive conversational interface

Systems, methods, and other embodiments associated with defining an adaptive polymorphic object agnostic conversational interaction model are described. In one embodiment, a computer-implemented method includes separating a conversational user input query into component structural entities using a semantic processor; constructing a data query based at least on the component structural entities, metadata describing one or more of the component structural entities, a query paradigm, and a current contextual state; transmitting the data query to a data provider for execution; and presenting the data query results through a user interface.

Method and system for constructing data queries from conversational input

Techniques for modifying application behavior at run-time are disclosed. The application behavior is controlled as a function of an application definition schema that is deployed and maintained independently of the application. The application definition schema maps tasks to operations, object types, layouts, and/or fields. A change in the application definition schema results in a change, for example, in the operations performed by an application to complete a task.

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Fremont, CA, United States of America

Saravanan Anandan