Towards Reliable Data Analyses for Smart Cities

Araújo, Tiago Brasileiro; Cappiello, Cinzia; Kozievitch, Nádia P.; Mestre, Demetrio Gomes; Pires, Carlos Eduardo Santos; Vitali, Monica

doi:10.1145/3105831.3105834

Cited by 3 publications

(5 citation statements)

References 16 publications

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“…Service-oriented Architectures that can expose data as a service (Budgen et al 2007), to data virtualisation, to data warehouses and data lakes (Beyer et al 2017). Generally, no one solution fits all problems and a mixture of these technologies is often deployed in organisational integration settings (Araújo et al 2017). It is the foremost challenge of integrating different data resources and further linking various assets for DT development.…”

Section: Analysis Of the Dts Development From The Perspective Of Data Managementmentioning

confidence: 99%

Developing a Digital Twin at Building and City Levels: Case Study of West Cambridge Campus

et al. 2020

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A Digital Twin (DT) refers to a digital replica of physical assets, processes and systems. DTs integrate artificial intelligence, machine learning and data analytics to create living digital simulation models that are able to learn and update from multiple sources, and to represent and predict the current and future conditions of physical counterparts. However, the current activities related to DTs are still at an early stage with respect to buildings and other infrastructure assets from an architectural and engineering/construction point of view. Less attention has been paid to the operation & maintenance (O&M) phase, which is the longest time span in the asset life cycle. A systematic and clear architecture verified with practical use cases for constructing a DT would be the foremost step for effective operation and maintenance of buildings and cities. To this end, this paper presents a system architecture for DTs, which is specifically designed at both the building and city levels. Based on current research about multi-tier architectures, this proposed DT architecture enables integration of heterogeneous data sources, supports effective data querying and analysing, supports decision-making processes in O&M management, and further bridges the gap between human relationships with buildings/cities. Based on this architecture, a DT demonstrator of the West Cambridge site of the University of Cambridge was developed. This paper aims at going through the whole

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Section: Analysis Of the Dts Development From The Perspective Of Data Managementmentioning

confidence: 99%

Developing a Digital Twin at Building and City Levels: Case Study of West Cambridge Campus

et al. 2020

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“…It is important to highlight that the MATCH-UPS approach can assist several smart cities approaches and environment projects from different countries that face common Big Data challenges, supporting the citizens and changing the way they live. Furthermore, other map matching approaches (e.g., the approaches proposed in [Fan et al 2014, Araújo et al 2017) can benefit from the Spark-based workflow and the blocking technique proposed in this work to enhance the efficiency of them. Based on the experimental experiments, the results show that the MATCH-UPS applying the blocking technique improves the efficiency without significant impact on the effectiveness results.…”

Section: Resultsmentioning

confidence: 99%

“…It occurs due to the fact that this information assists the proposed approach to better classify the pairs of geospatial records. Concerning the recall metric depicted in Figure 3(b), the proposed approach presents low values since the intersection rate between the OSM data source and the municipality data source is only 10%, as described in [Araújo et al 2017]. In other words, the intersection between the OSM and the municipality data sources contains only 696 records (of 6,982 records stored in the municipality data source).…”

Section: Discussionmentioning

confidence: 95%

A Parallel-based Map Matching Approach over Urban Place Records

Araújo¹,

Pires²,

Mestre

et al. 2019

Anais Do XXXIV Simpósio Brasileiro De Banco De Dados (SBBD 2019)

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In the Smart Cities scenario, to avoid the conflicting geospatial records between official and non-official sources, it is necessary to detect the inconsistencies regarding the geospatial data provided by them. To this end, the map matching task, i.e., the task of identifying correspondent features between two geospatial data sources, should be applied. For spatial Big Data, the map matching task is confronted with challenges related to volume and veracity of the data. In this sense, we propose a Spark-based map matching approach, called MATCH-UPS. To evaluate, real-world data sources of New York (USA) and Curitiba (Brazil) were applied. The results showed that MATCH-UPS improved the precision by 26% and reduced the execution time by one third.

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“…O uso de dados de qualidade no contexto das cidades inteligentes pode ser observado no artigo de [Araújo et al 2017], onde é feito o uso de algoritmos de Entity Matching para aumentar a qualidade dos dados utilizados para tomada de decisões sobre o transporte público. Para isso, são integradas duas bases de dados de Curitiba (IPPUC e URBS), tendo como resultado a reduc ¸ão de ruídos nos dados.…”

Section: Trabalhos Relacionadosunclassified

“…As principais publicac ¸ões que serviram de referência para a realizac ¸ão deste trabalho foram as de [Lopes et al 2016], denominada "integrac ¸ão de dados na saúde pública", a de [Victorino et al 2017], "big data com dados governamentais"; a de [Alencar et al 2018], "vitrine de Currículos Lattes", e o de [Araújo et al 2017], "integrac ¸ão de bases em cidades inteligentes". A escolha para estas publicac ¸ões se justifica por eles trazerem contribuic ¸ões para a maioria dos principais conceitos abordados no presente trabalho.…”

Section: Trabalhos Relacionadosunclassified

Dados Abertos - Caso de uso com a Secretaria de Saúde de Curitiba

Pereira

Kozievitch

Berardi

et al. 2022

Anais Da XVII Escola Regional De Banco De Dados (ERBD 2022)

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Relatórios de gestão são documentos elaborados para apresentar uma visão geral de desempenho, perspectivas, conectando e resumindo várias fontes de dados e indicadores. Alguns relatórios deste tipo são gerados pela secretaria municipal de saúde de Curitiba e que apesar de possuirem alguns indicadores em comum, não apresentam uma padronização suficiente que permita uma comparação entre os dados ao longo do tempo. Este trabalho mapeia as fontes dos dados contidas nestes relatórios, observando os indicadores de saúde. Algoritmos de Entity Matching, que são capazes de localizar termos semelhantes, foram utilizados no trabalho para identificar indicadores que se mantêm ao longo do tempo.

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Towards Reliable Data Analyses for Smart Cities

Cited by 3 publications

References 16 publications

Developing a Digital Twin at Building and City Levels: Case Study of West Cambridge Campus

Developing a Digital Twin at Building and City Levels: Case Study of West Cambridge Campus

A Parallel-based Map Matching Approach over Urban Place Records

Dados Abertos - Caso de uso com a Secretaria de Saúde de Curitiba

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