An Architecture-independent Data Model for Managing Information Generated by Human-chatbot Interactions
Massimiliano Luca, Alberto Montresor, Carlo Caprini, Daniele Miorandi · 2020
This paper introduces a data model for representing humans-chatbots interactions. Despite there are many models that allow representing the usage and the behaviour of bots, a service that can store information from any conversational agent regardless the architecture is still missing. With this work, we introduce a general-purpose data model to store both messages and logs. To succeed, we raise the level of abstraction of the other analyzed models and we focused on the core logic of chatbots: conversations and interactions with the users