Oracle Digital Assistant analyzes user messages to identify intents and to extract information. This article explains 4 options you can use to find and extract information from user messages sent to skills in Digital Assistant.
Option 1: System.Intent component
The system intent component usually is one of the first components in a dialog flow. It passes the incoming user message to the NLP model for it to identify the user intent and to extract values for configured entities. The image below shows an example for a fictitious booking bot. The intent engine recognized the user intention to confirm a booking and also extracts the booking number to confirm. The approach is based on a custom entity, which in case of this sample is an entity of type Regular Expression. The expression checks the user message for a pattern of ‘CX-‘ followed by 7 digits. Read the complete article here.
For regular information become a member in the Developer Partner Community please register here.
Blog 
Twitter 
LinkedIn ![image[7][2][2][2]](https://soacommunity.files.wordpress.com/2013/04/image7222.png?w=20&h=20 "image[7][2][2][2]"){kind=small}
Facebook 
Meetups
Technorati Tags: PaaS,Cloud,Middleware Update,WebLogic, WebLogic
Developer Community 