research-article

An Ontology-based Information Model for Multi-Domain Semantic Modeling and Analysis of Smart City Data

Authors:

Bartira Dantas Rocha,

Everton Cavalcante, and

Porfírio GomesAuthors Info & Claims

WebMedia '20: Proceedings of the Brazilian Symposium on Multimedia and the Web

November 2020

Pages 73 - 80

https://doi.org/10.1145/3428658.3430973

Published: 30 November 2020 Publication History

Abstract

Smart city services are typically defined according to domains (e.g., health, education, safety) and supported by different systems. Consequently, the analysis of smart city data is often domain-specific, thus limiting the capabilities of the offered services and hampering decision-making that relies on isolated domain information. To support a suitable analysis across multiple domains, it is necessary having a unified data model able to handle the inherent heterogeneity of smart city data and take into account both geographic and citizen information. This paper presents an ontology-based information model to support multi-domain analysis in smart cities to foster interoperability and powerful automated reasoning upon unambiguous information. The proposed information model follows Linked Data principles and takes advantage of ontologies to define information semantically. The semantic relationships and properties defined in the model also allow inferring new pieces of information that improve accuracy when analyzing multiple city domains. This paper reports an evaluation of the information model through ontological metrics and competence questions.

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Cited By

Lin LWang F(2023)Adaptive Learning System Based on Knowledge GraphProceedings of the 9th International Conference on Education and Training Technologies10.1145/3599640.3599647(1-7)Online publication date: 21-Apr-2023
https://dl.acm.org/doi/10.1145/3599640.3599647
Da Silva TBatista TLopes FNeto ADelicato FPires PDa Rocha A(2022)Fog Computing Platforms for Smart City Applications: A SurveyACM Transactions on Internet Technology10.1145/348858522:4(1-32)Online publication date: 22-Dec-2022
https://dl.acm.org/doi/10.1145/3488585
Li PWang XLiang HZhang SZhang YJiang YTang Y(2022)A fuzzy semantic representation and reasoning model for multiple associative predicates in knowledge graphInformation Sciences: an International Journal10.1016/j.ins.2022.03.079599:C(208-230)Online publication date: 1-Jun-2022
https://dl.acm.org/doi/10.1016/j.ins.2022.03.079
Show More Cited By

Index Terms

An Ontology-based Information Model for Multi-Domain Semantic Modeling and Analysis of Smart City Data
1. Computing methodologies
  1. Artificial intelligence
    1. Knowledge representation and reasoning
      1. Ontology engineering

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cover image ACM Conferences

WebMedia '20: Proceedings of the Brazilian Symposium on Multimedia and the Web

November 2020

364 pages

ISBN:9781450381963

DOI:10.1145/3428658

General Chair:
Carlos de Salles Soares Neto
UFMA

Copyright © 2020 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SBC: Brazilian Computer Society
CNPq: Conselho Nacional de Desenvolvimento Cientifico e Tecn
CGIBR: Comite Gestor da Internet no Brazil
CAPES: Brazilian Higher Education Funding Council

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Published: 30 November 2020

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WebMedia '20

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WebMedia '20: Brazillian Symposium on Multimedia and the Web

November 30 - December 4, 2020

São Luís, Brazil

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WebMedia '20 Paper Acceptance Rate 34 of 87 submissions, 39%;

Overall Acceptance Rate 270 of 873 submissions, 31%

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Cited By

Lin LWang F(2023)Adaptive Learning System Based on Knowledge GraphProceedings of the 9th International Conference on Education and Training Technologies10.1145/3599640.3599647(1-7)Online publication date: 21-Apr-2023
https://dl.acm.org/doi/10.1145/3599640.3599647
Da Silva TBatista TLopes FNeto ADelicato FPires PDa Rocha A(2022)Fog Computing Platforms for Smart City Applications: A SurveyACM Transactions on Internet Technology10.1145/348858522:4(1-32)Online publication date: 22-Dec-2022
https://dl.acm.org/doi/10.1145/3488585
Li PWang XLiang HZhang SZhang YJiang YTang Y(2022)A fuzzy semantic representation and reasoning model for multiple associative predicates in knowledge graphInformation Sciences: an International Journal10.1016/j.ins.2022.03.079599:C(208-230)Online publication date: 1-Jun-2022
https://dl.acm.org/doi/10.1016/j.ins.2022.03.079
De Nicola AVillani M(2021)Smart City Ontologies and Their Applications: A Systematic Literature ReviewSustainability10.3390/su1310557813:10(5578)Online publication date: 17-May-2021
https://doi.org/10.3390/su13105578
Silva JAlmeida JBatista TCavalcante EPereira Ada Rocha L(2021)AquedücteProceedings of the Brazilian Symposium on Multimedia and the Web10.1145/3470482.3479631(177-180)Online publication date: 5-Nov-2021
https://dl.acm.org/doi/10.1145/3470482.3479631

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