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

Rocha, Bartira; Silva, Larysse; Batista, Thaís; Cavalcante, Everton; Gomes, Porfírio

doi:10.1145/3428658.3430973

Cited by 6 publications

(2 citation statements)

References 14 publications

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“…Besides, platforms S1 and S17 use semantic-based data models, respectively NGSI (with the NGSI-LD extension) and Km4City [56]. The authors in [68] present an ontology-based information model to support multi-domain analysis in SCs. This model regards the heterogeneity of SC data and considers both geographic and citizen information, fostering interoperability and automated reasoning upon unambiguous information.…”

Section: Rq3 -Services Provided By Fog Computing Platforms For Smart ...mentioning

confidence: 99%

Fog Computing Platforms for Smart City Applications: A Survey

Silva

Batista

Lopes

et al. 2022

ACM Trans. Internet Technol.

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Emerging IoT applications with stringent requirements on latency and data processing have posed many challenges to cloud-centric platforms for Smart Cities. Recently, Fog Computing has been advocated as a promising approach to support such new applications and handle the increasing volume of IoT data and devices. The Fog Computing paradigm is characterized by a horizontal system-level architecture where devices close to end-users and IoT devices are used for processing, storage, and networking functions. Fog Computing platforms aim to facilitate the development of applications and systems for Smart Cities by providing services and abstractions designed to integrate data from IoT devices and various information systems deployed in the city. Despite the potential of the Fog Computing paradigm, the literature still lacks a broad, comprehensive overview of what has been investigated on the use of such paradigm in platforms for Smart Cities and open issues to be addressed in future research and development. In this paper, a systematic mapping study was performed and we present a comprehensive understanding of the use of the Fog Computing paradigm in Smart Cities platforms, providing an overview of the current state of research on this topic, and identifying important gaps in the existing approaches and promising research directions.

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Section: Rq3 -Services Provided By Fog Computing Platforms For Smart ...mentioning

confidence: 99%

Fog Computing Platforms for Smart City Applications: A Survey

Silva

Batista

Lopes

et al. 2022

ACM Trans. Internet Technol.

Self Cite

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“…Indeed, effective decision making for urban planning requires an holistic analysis which is hindered by problems related to the quantity, quality, variety and/or actual availability of data and knowledge to base such decisions. Within this sector, data integration [175][176][177] and visualization from spatio-temporal perspectives [18,178], and crowd-sourcing information for urban planning [173] are other issues to be addressed.…”

Section: Issues For Urban Planningmentioning

confidence: 99%

Smart City Ontologies and Their Applications: A Systematic Literature Review

Nicola

Villani

2021

Sustainability

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The increasing interconnections of city services, the explosion of available urban data, and the need for multidisciplinary analysis and decision making for city sustainability require new technological solutions to cope with such complexity. Ontologies have become viable and effective tools to practitioners for developing applications requiring data and process interoperability, big data management, and automated reasoning on knowledge. We investigate how and to what extent ontologies have been used to support smart city services and we provide a comprehensive reference on what problems have been addressed and what has been achieved so far with ontology-based applications. To this purpose, we conducted a systematic literature review finalized to presenting the ontologies, and the methods and technological systems where ontologies play a relevant role in shaping current smart cities. Based on the result of the review process, we also propose a classification of the sub-domains of the city addressed by the ontologies we found, and the research issues that have been considered so far by the scientific community. We highlight those for which semantic technologies have been mostly demonstrated to be effective to enhance the smart city concept and, finally, discuss in more details about some open problems.

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A fuzzy semantic representation and reasoning model for multiple associative predicates in knowledge graph

Wang

Liang

et al. 2022

Information Sciences

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

Cited by 6 publications

References 14 publications

Fog Computing Platforms for Smart City Applications: A Survey

Fog Computing Platforms for Smart City Applications: A Survey

Smart City Ontologies and Their Applications: A Systematic Literature Review

A fuzzy semantic representation and reasoning model for multiple associative predicates in knowledge graph

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