Publication
Mech desk an ontology based system to help drivers diagnosis vehicle problems
| dc.contributor.author | Camelo, Diogo | |
| dc.contributor.author | Ascensão, João Filipe Fernandes | |
| dc.contributor.author | Alves, Rui | |
| dc.contributor.author | Matos, Paulo | |
| dc.date.accessioned | 2023-03-10T15:18:49Z | |
| dc.date.available | 2023-03-10T15:18:49Z | |
| dc.date.issued | 2022 | |
| dc.description.abstract | Semantic Web is a vision about an extension of the existing World Wide Web, which provides tools and technologies to support the transparent exchange of information and knowledge among organizations. As one of the building blocks of Semantic Technology, ontologies are part of the W3C standards stack for the Semantic Web. Nowadays, multiple areas can be aborded by ontologies and the semantic web world, as the subject of this project, mechanics. Mechanics have been accentuated in a visible way, where the reality of living without means of transportation is not feasible in people's lives. The development of new methods to increase the knowledge of drivers and everyday people about automated vehicles is essential. Regarding cars, revisions, maintenance, inspections, change of parts, among others, are necessary and "mandatory"subjects and due to this, it is possible to prevent future damage by prolonging the life of the car. In certain cases, this doesn't happen, either due to wear of parts or unforeseen events, and despite being a busy market, drivers are not always informed about the best cares to take or the problems that may arise. As such, the theme of this project is to make a relationship between mechanical details, issues, and solutions, throughout an ontology, to help an everyday driver to a better perception of what he encounters at hand. For that purpose, the defined ontology was exposed via a mobile application, with it providing to the user, several details that he can or not relate, and trough them, provide a connection with a certain problem and solution. The semantic web ontology was developed in Protégé, exposed into Apache Jena Fuseki server, and was running in an Azure Virtual Machine, allowing it to be available into the OutSystems application. | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.citation | Camelo, Diogo; Ascensão, João; Alves, Rui; Matos, Paulo (2022). Mech desk an ontology based system to help drivers diagnosis vehicle problems. In 8th International Conference on Frontiers of Educational Technologies, ICFET 2022. Bragança, Portugal. 8, p. 169-175 | pt_PT |
| dc.identifier.doi | 10.1145/3545862.3545890 | pt_PT |
| dc.identifier.isbn | 978-145039640-0 | |
| dc.identifier.uri | http://hdl.handle.net/10198/27628 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.publisher | Association for Computing Machinery | pt_PT |
| dc.relation | FCT - Fundação para a Ciência e Tecnologia within the Project Scope: UIDB/05757/2020 | pt_PT |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
| dc.subject | Mobile development | pt_PT |
| dc.subject | Ontolog | pt_PT |
| dc.subject | Vehicles maintenance | pt_PT |
| dc.subject | Semantic web | pt_PT |
| dc.title | Mech desk an ontology based system to help drivers diagnosis vehicle problems | pt_PT |
| dc.type | conference paper | |
| dspace.entity.type | Publication | |
| oaire.citation.conferencePlace | Bragança, Portugal | pt_PT |
| oaire.citation.endPage | 175 | pt_PT |
| oaire.citation.issue | 8 | pt_PT |
| oaire.citation.startPage | 169 | pt_PT |
| oaire.citation.title | 8th International Conference on Frontiers of Educational Technologies, ICFET 2022 | pt_PT |
| person.familyName | Alves | |
| person.familyName | Matos | |
| person.givenName | Rui | |
| person.givenName | Paulo | |
| person.identifier | R-002-2BA | |
| person.identifier.ciencia-id | A716-1D09-38A0 | |
| person.identifier.ciencia-id | DD15-B2BC-3908 | |
| person.identifier.orcid | 0000-0003-4128-8779 | |
| person.identifier.orcid | 0000-0003-0010-4777 | |
| person.identifier.rid | I-5726-2018 | |
| person.identifier.scopus-author-id | 57219876713 | |
| person.identifier.scopus-author-id | 57193342842 | |
| rcaap.rights | restrictedAccess | pt_PT |
| rcaap.type | conferenceObject | pt_PT |
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