Semantic Web Framework for Automated Smart Assistants in Public Health

In reality, the COVID-19 widespread illustrated that information frameworks will play a significant part in giving precise data when it comes to displaying actualities to individuals with shifting foundations and get to to innovation. On the one hand, open wellbeing organizations and organizations are deferring the broad sending of virtual associates due to deterrents and confinements. This article presents Moment Master, an open-source semantic web system that can be utilized to plan and coordinated voice-activated shrewd associates on any online stage, in any case of the space or innovation being utilized. This portion encourages the simple integration of an operable right hand with non-technical space experts' websites, separating the assistant's capacity to tune in and react to voice enlightening. As an enlightening asset for the framework, Moment Master is self-acting when it comes to parsing and handling As often as possible Inquired Questions destinations. It too communicates with a farther information motor to supply ontology-powered induction and the energetic utilization of information. In order to empower the total framework to completely utilize the control of the most up to date web innovations to supply steadfastness and reusability, an exertion is made in this article to saddle the numerous modern specialized breakthroughs. An induction motor for comprehending characteristic dialect interior the system is driven by heuristic strategies and profound learning. An informatory collaborator improvement case consider for COVID-19, based on information from the Centers for Infection Control and Anticipation, is advertised to demonstrate the applications and benefits of the system.

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Publication Details

Published
2025-02-13
DOI
https://doi.org/10.1109/ic363308.2025.10956245
Primary Topic
IoT and Edge/Fog Computing
Type
article
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article

Semantic Web Framework for Automated Smart Assistants in Public Health

R. Abirami, Seeniappan Kaliappan, Maged Hassan, T. Aditya Sai Srinivas et al.
IoT and Edge/Fog Computing
article

Semantic Web Framework for Automated Smart Assistants in Public Health

R. Abirami, Seeniappan Kaliappan, Maged Hassan, T. Aditya Sai Srinivas, S Keerthana, Harsha Gangavane
article en

Abstract

In reality, the COVID-19 widespread illustrated that information frameworks will play a significant part in giving precise data when it comes to displaying actualities to individuals with shifting foundations and get to to innovation. On the one hand, open wellbeing organizations and organizations are deferring the broad sending of virtual associates due to deterrents and confinements. This article presents Moment Master, an open-source semantic web system that can be utilized to plan and coordinated voice-activated shrewd associates on any online stage, in any case of the space or innovation being utilized. This portion encourages the simple integration of an operable right hand with non-technical space experts' websites, separating the assistant's capacity to tune in and react to voice enlightening. As an enlightening asset for the framework, Moment Master is self-acting when it comes to parsing and handling As often as possible Inquired Questions destinations. It too communicates with a farther information motor to supply ontology-powered induction and the energetic utilization of information. In order to empower the total framework to completely utilize the control of the most up to date web innovations to supply steadfastness and reusability, an exertion is made in this article to saddle the numerous modern specialized breakthroughs. An induction motor for comprehending characteristic dialect interior the system is driven by heuristic strategies and profound learning. An informatory collaborator improvement case consider for COVID-19, based on information from the Centers for Infection Control and Anticipation, is advertised to demonstrate the applications and benefits of the system.

Lovely Professional University (IN), Iraqi University (IQ), CMR University (IN), Saveetha University (IN)
Openalex Percentile: Top 93%
IoT and Edge/Fog Computing
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Semantic Web Framework for Automated Smart Assistants in Public Health — R. Abirami, Seeniappan Kaliappan, et al. · (2025) | TGRS Research Map | TGRS