Domain-Agnostic Context-Aware Assistant Framework for Task-Based Environment

Sarthak Tiwari, Ajay Bansal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Smart home assistants are becoming a norm due to their ease-of-use. They employ spoken language as an interface, facilitating easy interaction with their users. Even with their obvious advantages, natural-language based interfaces are not prevalent outside the domain of home assistants. It is hard to adopt them for computer-controlled systems due to the numerous complexities involved with their implementation in varying fields. The main challenge is the grounding of natural language base terms into the underlying system's primitives. The existing systems that do use natural language interfaces are specific to one problem domain only. This paper presents a domain-agnostic framework that creates natural language interfaces for computer-controlled systems that have been developed by creating a customizable mapping between the language constructs and the system primitives. The framework employs ontologies built using OWL (Web Ontology Language) for knowledge representation and machine learning models for language processing tasks.

Original languageEnglish (US)
Title of host publicationProceedings - 2021 IEEE 15th International Conference on Semantic Computing, ICSC 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages86-87
Number of pages2
ISBN (Electronic)9781728188997
DOIs
StatePublished - Jan 2021
Externally publishedYes
Event15th IEEE International Conference on Semantic Computing, ICSC 2021 - Virtual, Laguna Hills, United States
Duration: Jan 27 2021Jan 29 2021

Publication series

NameProceedings - 2021 IEEE 15th International Conference on Semantic Computing, ICSC 2021

Conference

Conference15th IEEE International Conference on Semantic Computing, ICSC 2021
CountryUnited States
CityVirtual, Laguna Hills
Period1/27/211/29/21

Keywords

  • database interface
  • domain-agnostic
  • language interface
  • ontologies
  • robot instructions

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Decision Sciences (miscellaneous)

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