A Smart City Data Model based on Semantics Best Practice and Principles

Consoli, Sergio; Mongiovic, Misael; Nuzzolese, Andrea Giovanni; Peroni, Silvio; Presutti, Valentina; Recupero, Diego Reforgiato; Spampinato, Daria

doi:10.1145/2740908.2742133

Cited by 35 publications

(18 citation statements)

References 14 publications

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“…PRISMA project designed an ontology [44] which reuses WGS81, NeoGeo, and Collections ontologies. However, it mentions neither the use of data generated by devices nor the usage of SSN ontology.…”

Section: A Existing Ontologies For Smart Citiesmentioning

confidence: 99%

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Building IoT-Based Applications for Smart Cities: How Can Ontology Catalogs Help?

Gyrard

Zimmermann

Sheth

2018

IEEE Internet Things J.

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The Internet of Things (IoT) plays an ever-increasing role in enabling Smart City applications. An ontology-based semantic approach can help improve interoperability between a variety of IoT-generated as well as complementary data needed to drive these applications. While multiple ontology catalogs exist, using them for IoT and smart city applications require significant amount of work. In this paper, we demonstrate how can ontology catalogs be more effectively used to design and develop smart city applications? We consider four ontology catalogs that are relevant for IoT and smart cities: READY4SmartCities, LOV, OpenSensingCity (OSC) and, LOV4IoT. To support semantic interoperability with the reuse of ontology-based smart city applications, we present a methodology to enrich ontology catalogs with those ontologies. Our methodology is generic enough to be applied to any other domains as is demonstrated by its adoption by OSC and LOV4IoT ontology catalogs. Researchers and developers have completed a survey based evaluation of the LOV4IoT catalog. The usefulness of ontology catalogs ascertained through this evaluation has encouraged their ongoing growth and maintenance. The quality of IoT and smart city ontologies have been evaluated to improve the ontology catalog quality. We also share the lessons learned regarding ontology best practices and provide suggestions for ontology improvements with a set of software tools.

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Section: A Existing Ontologies For Smart Citiesmentioning

confidence: 99%

“…The evaluation result has been previously published in [52], but we are still accepting answers to evaluate the ontology catalog with more and more users. The updated evaluation result summary is available as well 44 .…”

Section: Evaluation Of the Lov4iot Catalog With Usersmentioning

confidence: 99%

Building IoT-Based Applications for Smart Cities: How Can Ontology Catalogs Help?

Gyrard

Zimmermann

Sheth

2018

IEEE Internet Things J.

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“…Consoli et al [11] proposed a methodology for collecting heterogeneous urban data, integrating them based on the designed data model, and publishing them as LOD. The data are collected from different data sources; for example, GeoData from the Geographic Information System (GIS), public transport bus system, public lighting system of the city, database dump of the road conditions, Microsoft Excel file of municipal waste collection, and urban fault reporting.…”

Section: Related Workmentioning

confidence: 99%

Temporal and Spatial Expansion of Urban LOD for Solving Illegally Parked Bicycles in Tokyo

Egami

Kawamura

Ohsuga

2018

IEICE Trans. Inf. & Syst.

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SUMMARYThe illegal parking of bicycles is a serious urban problem in Tokyo. The purpose of this study was to sustainably build Linked Open Data (LOD) to assist in solving the problem of illegally parked bicycles (IPBs) by raising social awareness, in cooperation with the Office for Youth Affairs and Public Safety of the Tokyo Metropolitan Government (Tokyo Bureau). We first extracted information on the problem factors and designed LOD schema for IPBs. Then we collected pieces of data from the Social Networking Service (SNS) and the websites of municipalities to build the illegally parked bicycle LOD (IPBLOD) with more than 200,000 triples. We then estimated the temporal missing data in the LOD based on the causal relations from the problem factors and estimated spatial missing data based on geospatial features. As a result, the number of IPBs can be inferred with about 70% accuracy, and places where bicycles might be illegally parked are estimated with about 31% accuracy. Then we published the complemented LOD and a Web application to visualize the distribution of IPBs in the city. Finally, we applied IPBLOD to large social activity in order to raise social awareness of the IPB issues and to remove IPBs, in cooperation with the Tokyo Bureau.

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“…In addition to temporal models, there are some studies about spatial RDF modeling. For example, GeoRDF [10] is an RDF-compatible profile for describing geometric information (points, lines, and polygons). In GeoRDF, GeoMetadataOverSvg is the geographic information notation, which plays a significant role in the spatial data connection of the Semantic Web.…”

Section: Introductionmentioning

confidence: 99%

Algebraic Operations on Spatiotemporal Data Based on RDF

Zhu¹,

Li²,

Bai³

2020

IJGI

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In the context of the Semantic Web, the Resource Description Framework (RDF), a language proposed by W3C, has been used for conceptual description, data modeling, and data querying. The algebraic approach has been proven to be an effective way to process queries, and algebraic operations in RDF have been investigated extensively. However, the study of spatiotemporal RDF algebra has just started and still needs further attention. This paper aims to explore an algebraic operational framework to represent the content of spatiotemporal data and support RDF graphs. To accomplish our study, we defined a spatiotemporal data model based on RDF. On this basis, the spatiotemporal semantics and the spatiotemporal algebraic operations were investigated. We defined five types of graph algebras, and, in particular, the filter operation can filter the spatiotemporal graphs using a graph pattern. Besides this, we put forward a spatiotemporal RDF syntax specification to help users browse, query, and reason with spatiotemporal RDF graphs. The syntax specification illustrates the filter rules, which contribute to capturing the spatiotemporal RDF semantics and provide a number of advanced functions for building data queries.

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A Smart City Data Model based on Semantics Best Practice and Principles

Cited by 35 publications

References 14 publications

Building IoT-Based Applications for Smart Cities: How Can Ontology Catalogs Help?

Building IoT-Based Applications for Smart Cities: How Can Ontology Catalogs Help?

Temporal and Spatial Expansion of Urban LOD for Solving Illegally Parked Bicycles in Tokyo

Algebraic Operations on Spatiotemporal Data Based on RDF

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