research-article

An Investigation on the use of Ontologies for pattern classification - Study applied to the monitoring of food intake

Authors:

Ingridy M. P. Barbalho,

Patricio de A. Silva,

Felipe R. dos S. Fernandes,

Francisco M. M. Neto,

Cicilia R. M. LeiteAuthors Info & Claims

EATIS '18: Proceedings of the Euro American Conference on Telematics and Information Systems

Article No.: 4, Pages 1 - 8

https://doi.org/10.1145/3293614.3293627

Published: 12 November 2018 Publication History

Abstract

Several tools are developed with the purpose of solving problems and exposing results similar to human reasoning. For this, various artificial intelligence techniques are being implemented to improve these applications. For the poorly structured and high volume data, the ontology presents itself as a technique capable of structuring this data and exposing representative results. In this way, this work describes the use of an ontology as the data classification technique and pattern recognition. The objective is to develop an ontological structure capable of analyzing and classifying the movements and sound signals of the chewing and swallowing process in solids or liquids. To validate the ontology, the tests were performed in real environments. The results obtained, based on the realized experiments, point to the viability of the use of ontologies for the problem in question.

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Cited By

Barbalho IFernandes FBarros DPaiva JHenriques JMorais ACoutinho KCoelho Neto GChioro AValentim R(2022)Electronic health records in Brazil: Prospects and technological challengesFrontiers in Public Health10.3389/fpubh.2022.96384110Online publication date: 3-Nov-2022
https://doi.org/10.3389/fpubh.2022.963841
Fernandes FBarbalho IBarros DValentim RTeixeira CHenriques JGil PDourado Júnior M(2021)Biomedical signals and machine learning in amyotrophic lateral sclerosis: a systematic reviewBioMedical Engineering OnLine10.1186/s12938-021-00896-220:1Online publication date: 15-Jun-2021
https://doi.org/10.1186/s12938-021-00896-2
Júnior ROliveira GNeto FSilva SSantos INeto Ade Castro APinto JChagas do Nascimento RFelici-Castell SSamper Zapater J(2020)An ontology used to support learning in the field of heritage educationProceedings of the 10th Euro-American Conference on Telematics and Information Systems10.1145/3401895.3402080(1-5)Online publication date: 25-Nov-2020
https://dl.acm.org/doi/10.1145/3401895.3402080

Index Terms

An Investigation on the use of Ontologies for pattern classification - Study applied to the monitoring of food intake
1. Computing methodologies
  1. Artificial intelligence
    1. Knowledge representation and reasoning

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cover image ACM Other conferences

EATIS '18: Proceedings of the Euro American Conference on Telematics and Information Systems

November 2018

297 pages

ISBN:9781450365727

DOI:10.1145/3293614

Co-chairs:
Gabriel Paillard
Federal University of Ceará (UFC), Brazil
,
Francisco Milton Mendes Neto
Rural Federal University of the Semiarid (UFERSA), Brazil
,
Program Chairs:
Emanuel Ferreira Coutinho
Federal University of Ceará (UFC), Brazil
,
Rogério Patrício Chagas do Nascimento
Federal University of Sergipe (UFS), Brazil

Copyright © 2018 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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EATIS: Euro American Association on Telematics and Information Systems

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 November 2018

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EATIS '18

EATIS '18: Euro American Conference on Telematics and Information Systems

November 12 - 15, 2018

Fortaleza, Brazil

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Cited By

Barbalho IFernandes FBarros DPaiva JHenriques JMorais ACoutinho KCoelho Neto GChioro AValentim R(2022)Electronic health records in Brazil: Prospects and technological challengesFrontiers in Public Health10.3389/fpubh.2022.96384110Online publication date: 3-Nov-2022
https://doi.org/10.3389/fpubh.2022.963841
Fernandes FBarbalho IBarros DValentim RTeixeira CHenriques JGil PDourado Júnior M(2021)Biomedical signals and machine learning in amyotrophic lateral sclerosis: a systematic reviewBioMedical Engineering OnLine10.1186/s12938-021-00896-220:1Online publication date: 15-Jun-2021
https://doi.org/10.1186/s12938-021-00896-2
Júnior ROliveira GNeto FSilva SSantos INeto Ade Castro APinto JChagas do Nascimento RFelici-Castell SSamper Zapater J(2020)An ontology used to support learning in the field of heritage educationProceedings of the 10th Euro-American Conference on Telematics and Information Systems10.1145/3401895.3402080(1-5)Online publication date: 25-Nov-2020
https://dl.acm.org/doi/10.1145/3401895.3402080

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