Open AccessTrends and Gaps in Ontology-Supported Environmental Health
Author(s) -
Lucas Felipe Moreira Silva,
Renato de Freitas Bulcão-Neto
Publication year - 2021
Publication title -
anais do xii computer on the beach - cotb '21
Language(s) - English
Resource type - Conference proceedings
DOI - 10.14210/cotb.v12.p414-421
Subject(s) - ontology , computer science , inclusion (mineral) , domain (mathematical analysis) , data science , theme (computing) , work (physics) , knowledge management , selection (genetic algorithm) , world wide web , engineering , artificial intelligence , sociology , social science , mechanical engineering , mathematical analysis , philosophy , mathematics , epistemology
Environmental Health (EH) refers to aspects of human health affectedby factors in the environment, e.g., biological factors, andit is an essential part of any comprehensive public health system.Similar to other health-related fields, one observes an increasingmovement in the adoption of IoT technologies into the EH domain.Regarding the data life cycle in IoT systems, data modeling andinterpretation are crucial tasks in which ontologies are a feasiblesolution because of their expressiveness and reasoning support.In this paper, we structure the ontology-supported EH researchtheme through a systematic literature mapping. The identificationand selection strategies of primary studies include the automaticsearch for studies published from 2010 to 2019 on five sourcesand the application of inclusion and exclusion criteria on an eighthundred-eleven-distinct-paper group. The results of this originalwork provide an overview of the research theme with multipleclassifications of thirty-four relevant studies remaining as well asthe finding of trends and gaps for future work.