2016
DOI: 10.1016/j.csi.2015.10.002
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A methodology for structured ontology construction applied to intelligent transportation systems

Abstract: The number of computers installed in urban and transport networks has grown tremendously in recent years, also the local processing capabilities and digital networking currently available. However, the heterogeneity of existing equipment in the field of ITS (Intelligent Transportation Systems) and the large volume of information they handle, greatly hinder the interoperability of the equipment and the design of cooperative applications between devices currently installed in urban networks. While the dynamic di… Show more

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Cited by 29 publications
(13 citation statements)
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References 34 publications
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“…[107] in their work proposed a synthesized methodology for taxonomy design in the domain of construction contractual semantics. [108] presented a systematic methodology in which ontology in the domain of Intelligence Transportation Systems would be developed. [109] proposed a ten step-wise ontology [110] proposed also a ten step methodology to develop ontologies for two domains.…”
Section: Fao-based Methodologymentioning
confidence: 99%
“…[107] in their work proposed a synthesized methodology for taxonomy design in the domain of construction contractual semantics. [108] presented a systematic methodology in which ontology in the domain of Intelligence Transportation Systems would be developed. [109] proposed a ten step-wise ontology [110] proposed also a ten step methodology to develop ontologies for two domains.…”
Section: Fao-based Methodologymentioning
confidence: 99%
“…Maleki et al (2018) elaborated on an ontology-based framework enabling smart product-service systems development in particular for machine health monitoring. Gregor et al (2016) proposed a methodology for construction of a structured ontology dedicated to designing intelligent transportation systems.…”
Section: Methodological Issues Of Ontology-based Model Constructionmentioning
confidence: 99%
“…The combination of visual and textual features increases the accuracy of predicting transportation sentiment classification. [18] Proposed a methodology for creating the transportation ontologies and semantic services for extracting the transportation-related information which is used in the intelligent transportation system domain. [19] Presented an approach for the detection of real-time traffic events using social media tweets.…”
Section: Related Researchmentioning
confidence: 99%