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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2021
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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) |
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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 |
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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 |
_version_ |
1718413006801469440 |