Oracle International Corporation

Kartik Raghavan

Sridhar Tadepalli

Donald Creig Humes

Kaarthik Balasubrahmanian

Saravanan Anandan

Raja V Penneru

Qian Rui Chow

Pradeep Krishnappa Ajanahalli

Sanjay Anant Pusegaonkar

Atanu Majumdar

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

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

A system filters a data set for the efficient execution of queries by removing at least some irrelevant records to generate a reduced data set. The records are determined to be irrelevant based on the values of the records for the particular attribute(s) corresponding to the filtering operation. The system filters out records within a data set that do not include any of the values defined for the particular attribute by a set of queries that are to be executed on the filtered set of records.

Generating filtered data sets for efficient query execution

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Pleasanton, CA, United States of America

Kartik Raghavan