Paper Info
Title
A Linked Data-Based Semantic Information Model for Smart Cities
Abstract
Smart cities typically involve a myriad of inter-connected systems intended to promote better management of urban and natural resources of cities, thereby contributing to the improve the quality of life of citizens. The heterogeneity of domains, systems, data, and relationships among them requires defining a data model able to express information in a flexible, extensible way while promoting interoperability between systems and applications. Furthermore, smart city systems can benefit from georeferenced information to allow for more effective actions over the real-world urban space. Aiming at tackling challenges related to data heterogeneity while considering georeferenced information, this work introduces LGeoSIM, a semantic-based information model for smart cities as means of fostering interoperability and powerful automated reasoning upon unambiguous information. LGeoSIM relies on the recent NGSI-LD Specification, thereby encompassing the principles of Linked Data to allow semantically defining information through ontologies and their interconnection. This paper also presents an implementation of LGeoSIM within Smart Geo Layers, a geographic-layered data middleware platform conceived to integrate data provided by heterogeneous sources in a smart city environment.
Year
DOI
Venue
2019
10.1109/SBESC49506.2019.9046078
2019 IX Brazilian Symposium on Computing Systems Engineering (SBESC)
Keywords
DocType
ISSN
Smart cities,Data model,Semantic information model,Ontologies,Linked Data
Conference
2324-7886
ISBN
Citations 
PageRank 
978-1-7281-6319-2
0
0.34
References 
Authors
10
4
Name
Order
Citations
PageRank
Bartira Rocha100.34
Everton Cavalcante214124.32
Thais Batista347444.46
Jorge Silva4428.75