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Scientific Article details

Title Smart City Umbrella Ontology :Context-Driven Framework For Traffic Planning
ID_Doc 36541
Authors Mor, A; Kumar, M; Chaudhury, S
Title Smart City Umbrella Ontology :Context-Driven Framework For Traffic Planning
Year 2021
Published
DOI 10.1145/3503162.3503170
Abstract Presently, huge public and private data sets are available from different government sources regarding transportation services in modern cities. The heterogeneous data-sets address day- to- day operations in transportation research,and these challenges can be effectively done with assistance of ontologies. Ontology is used for accessing and exploiting data from sensors to surveys in a semantically inter-operable way is demanding,in recent years. In this paper, an ontological framework is designed for smart cities by integration of entities such as surface transport network,road geometry, topology,and traffic monitoring sensors.The Smart City Umbrella Ontology (SCUO) is designed using standardized traffic guidelines in the context of Indian surface transportation.The paper focuses on ontology design by argumentation of road network nomenclature and relationship among entities.A mechanism for linking ontologies is implemented through Resource Description Framework(RDF) with a set of relations.The proposed framework can be used to provide services to commuters via specific applications in intelligent system of transportation by administration,and city stakeholders for design,policy-making purposes of traffic planning.
Author Keywords Transportation ontologies; smart city umbrella ontology; linking ontologies; resource description framework
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Conference Proceedings Citation Index - Science (CPCI-S)
EID WOS:000929691000017
WoS Category Computer Science, Artificial Intelligence; Computer Science, Information Systems; Computer Science, Theory & Methods
Research Area Computer Science
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