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Scientific Article details

Title Ontology-based Classification and Analysis of nonemergency Smart-city Events
ID_Doc 40553
Authors Rani, M; Alekh, S; Bhardwaj, A; Gupta, A; Vyas, OP
Title Ontology-based Classification and Analysis of nonemergency Smart-city Events
Year 2016
Published
DOI
Abstract Several challenges are faced by citizens of urban centers while dealing with day-to-day events, and the absence of a centralized reporting mechanism makes event-reporting and redressal a daunting task. With the push on information technology to adapt to the needs of smart-cities and integrate urban civic services, the use of Open311 architecture presents an interesting solution. In this paper, we present a novel approach that uses an existing Open311 ontology to classify and report non-emergency city-events, as well as to guide the citizen to the points of redressal. The use of linked open data and the semantic model serves to provide contextual meaning and make vast amounts of content hyper-connected and easily-searchable. Such a one-size-fits-all model also ensures reusability and effective visualization and analysis of data across several cities. By integrating urban services across various civic bodies, the proposed approach provides a single endpoint to the citizen, which is imperative for smooth functioning of smart cities.
Author Keywords Smart Cities; Open311; SPARQL; Linked Open Data (LOD); Semantic Web
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Conference Proceedings Citation Index - Science (CPCI-S)
EID WOS:000389774600092
WoS Category Computer Science, Information Systems; Telecommunications
Research Area Computer Science; Telecommunications
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