Methods for Developing Semantically Oriented Virtual Assistants

Abstract

Nowadays, various technologies are used to create intelligent assistants, based both on research in the field of neural networks, natural language text analysis tools, and on the use of semantic modeling tools. Each of these approaches allows you to qualitatively solve certain problems. As part of this work, an intelligent assistant is being developed that combines all these approaches. The purpose of the work is to create an intelligent assistant that performs as a virtual consultant on the organization’s work processes. The development is based on the use of the semantic model of the organization and business processes. To recognize user intents, we use homomorphic and generalized user intents. The system allows decomposing user tasks and creating a consistency of their execution based on the user semantic models and the subject area.