OntoTouTra: Tourist Traceability Ontology Based on Big Data Analytics

Tourist traceability is the analysis of the set of actions, procedures, and technical measures that allows us to identify and record the space–time causality of the tourist’s touring, from the beginning to the end of the chain of the tourist product. Besides, the traceability of tourists has implica...

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Autores principales: Juan Francisco Mendoza-Moreno, Luz Santamaria-Granados, Anabel Fraga Vázquez, Gustavo Ramirez-Gonzalez
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Lenguaje:EN
Publicado: MDPI AG 2021
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spelling oai:doaj.org-article:2844c615df1a4e2a89131189dc47c60a2021-11-25T16:43:31ZOntoTouTra: Tourist Traceability Ontology Based on Big Data Analytics10.3390/app1122110612076-3417https://doaj.org/article/2844c615df1a4e2a89131189dc47c60a2021-11-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/22/11061https://doaj.org/toc/2076-3417Tourist traceability is the analysis of the set of actions, procedures, and technical measures that allows us to identify and record the space–time causality of the tourist’s touring, from the beginning to the end of the chain of the tourist product. Besides, the traceability of tourists has implications for infrastructure, transport, products, marketing, the commercial viability of the industry, and the management of the destination’s social, environmental, and cultural impact. To this end, a tourist traceability system requires a knowledge base for processing elements, such as functions, objects, events, and logical connectors among them. A knowledge base provides us with information on the preparation, planning, and implementation or operation stages. In this regard, unifying tourism terminology in a traceability system is a challenge because we need a central repository that promotes standards for tourists and suppliers in forming a formal body of knowledge representation. Some studies are related to the construction of ontologies in tourism, but none focus on tourist traceability systems. For the above, we propose OntoTouTra, an ontology that uses formal specifications to represent knowledge of tourist traceability systems. This paper outlines the development of the OntoTouTra ontology and how we gathered and processed data from ubiquitous computing using Big Data analysis techniques.Juan Francisco Mendoza-MorenoLuz Santamaria-GranadosAnabel Fraga VázquezGustavo Ramirez-GonzalezMDPI AGarticletourist traceabilityontologyBig Dataanalyticsubiquitous computingTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 11061, p 11061 (2021)
institution DOAJ
collection DOAJ
language EN
topic tourist traceability
ontology
Big Data
analytics
ubiquitous computing
Technology
T
Engineering (General). Civil engineering (General)
TA1-2040
Biology (General)
QH301-705.5
Physics
QC1-999
Chemistry
QD1-999
spellingShingle tourist traceability
ontology
Big Data
analytics
ubiquitous computing
Technology
T
Engineering (General). Civil engineering (General)
TA1-2040
Biology (General)
QH301-705.5
Physics
QC1-999
Chemistry
QD1-999
Juan Francisco Mendoza-Moreno
Luz Santamaria-Granados
Anabel Fraga Vázquez
Gustavo Ramirez-Gonzalez
OntoTouTra: Tourist Traceability Ontology Based on Big Data Analytics
description Tourist traceability is the analysis of the set of actions, procedures, and technical measures that allows us to identify and record the space–time causality of the tourist’s touring, from the beginning to the end of the chain of the tourist product. Besides, the traceability of tourists has implications for infrastructure, transport, products, marketing, the commercial viability of the industry, and the management of the destination’s social, environmental, and cultural impact. To this end, a tourist traceability system requires a knowledge base for processing elements, such as functions, objects, events, and logical connectors among them. A knowledge base provides us with information on the preparation, planning, and implementation or operation stages. In this regard, unifying tourism terminology in a traceability system is a challenge because we need a central repository that promotes standards for tourists and suppliers in forming a formal body of knowledge representation. Some studies are related to the construction of ontologies in tourism, but none focus on tourist traceability systems. For the above, we propose OntoTouTra, an ontology that uses formal specifications to represent knowledge of tourist traceability systems. This paper outlines the development of the OntoTouTra ontology and how we gathered and processed data from ubiquitous computing using Big Data analysis techniques.
format article
author Juan Francisco Mendoza-Moreno
Luz Santamaria-Granados
Anabel Fraga Vázquez
Gustavo Ramirez-Gonzalez
author_facet Juan Francisco Mendoza-Moreno
Luz Santamaria-Granados
Anabel Fraga Vázquez
Gustavo Ramirez-Gonzalez
author_sort Juan Francisco Mendoza-Moreno
title OntoTouTra: Tourist Traceability Ontology Based on Big Data Analytics
title_short OntoTouTra: Tourist Traceability Ontology Based on Big Data Analytics
title_full OntoTouTra: Tourist Traceability Ontology Based on Big Data Analytics
title_fullStr OntoTouTra: Tourist Traceability Ontology Based on Big Data Analytics
title_full_unstemmed OntoTouTra: Tourist Traceability Ontology Based on Big Data Analytics
title_sort ontotoutra: tourist traceability ontology based on big data analytics
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/2844c615df1a4e2a89131189dc47c60a
work_keys_str_mv AT juanfranciscomendozamoreno ontotoutratouristtraceabilityontologybasedonbigdataanalytics
AT luzsantamariagranados ontotoutratouristtraceabilityontologybasedonbigdataanalytics
AT anabelfragavazquez ontotoutratouristtraceabilityontologybasedonbigdataanalytics
AT gustavoramirezgonzalez ontotoutratouristtraceabilityontologybasedonbigdataanalytics
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