CrowDSL: Platform for Incidents Management in a Smart City Context
The final objective of smart cities is to optimize services and improve the quality of life of their citizens, who can play important roles due to the information they can provide. This information can be used in order to enhance many sectors involved in city activity such as transport, energy or he...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-09-01
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| Series: | Big Data and Cognitive Computing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2504-2289/5/3/44 |
| _version_ | 1797520161425588224 |
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| author | Darío Rodríguez-García Vicente García-Díaz Cristian González García |
| author_facet | Darío Rodríguez-García Vicente García-Díaz Cristian González García |
| author_sort | Darío Rodríguez-García |
| collection | DOAJ |
| description | The final objective of smart cities is to optimize services and improve the quality of life of their citizens, who can play important roles due to the information they can provide. This information can be used in order to enhance many sectors involved in city activity such as transport, energy or health. Crowd-sourcing initiatives focus their efforts on making cities safer places that are adapted to the population size they host. In this way, citizens are able to report the issues they identify to the relevant body so that they can be fixed and, at the same time, they can provide useful information to other citizens. There are several projects aimed at reporting incidents in a smart city context. In this paper, we propose the use of model-driven engineering by designing a graphical domain-specific language to abstract and improve the incident-reporting process. With the use of a domain-specific language, we can obtain several benefits in our research for users and cities. For instance, we can shorten the time for reporting the events by users and, at the same time, we gain an expressive power compared to other methodologies for incident reporting. In addition, it can be reused and is centered in this specific domain after being studied. Furthermore, we have evaluated the DSL with different users, obtaining a high satisfaction percentage. |
| first_indexed | 2024-03-10T07:52:55Z |
| format | Article |
| id | doaj.art-1ad49719372545a19e60440241f1f34a |
| institution | Directory Open Access Journal |
| issn | 2504-2289 |
| language | English |
| last_indexed | 2024-03-10T07:52:55Z |
| publishDate | 2021-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Big Data and Cognitive Computing |
| spelling | doaj.art-1ad49719372545a19e60440241f1f34a2023-11-22T12:03:57ZengMDPI AGBig Data and Cognitive Computing2504-22892021-09-01534410.3390/bdcc5030044CrowDSL: Platform for Incidents Management in a Smart City ContextDarío Rodríguez-García0Vicente García-Díaz1Cristian González García2Department of Computer Science, University of Oviedo, 33007 Oviedo, SpainDepartment of Computer Science, University of Oviedo, 33007 Oviedo, SpainDepartment of Computer Science, University of Oviedo, 33007 Oviedo, SpainThe final objective of smart cities is to optimize services and improve the quality of life of their citizens, who can play important roles due to the information they can provide. This information can be used in order to enhance many sectors involved in city activity such as transport, energy or health. Crowd-sourcing initiatives focus their efforts on making cities safer places that are adapted to the population size they host. In this way, citizens are able to report the issues they identify to the relevant body so that they can be fixed and, at the same time, they can provide useful information to other citizens. There are several projects aimed at reporting incidents in a smart city context. In this paper, we propose the use of model-driven engineering by designing a graphical domain-specific language to abstract and improve the incident-reporting process. With the use of a domain-specific language, we can obtain several benefits in our research for users and cities. For instance, we can shorten the time for reporting the events by users and, at the same time, we gain an expressive power compared to other methodologies for incident reporting. In addition, it can be reused and is centered in this specific domain after being studied. Furthermore, we have evaluated the DSL with different users, obtaining a high satisfaction percentage.https://www.mdpi.com/2504-2289/5/3/44smart cityinternet of thingsdomain-specific languagemodel-driven engineeringcrowd-sourcingcitizens |
| spellingShingle | Darío Rodríguez-García Vicente García-Díaz Cristian González García CrowDSL: Platform for Incidents Management in a Smart City Context Big Data and Cognitive Computing smart city internet of things domain-specific language model-driven engineering crowd-sourcing citizens |
| title | CrowDSL: Platform for Incidents Management in a Smart City Context |
| title_full | CrowDSL: Platform for Incidents Management in a Smart City Context |
| title_fullStr | CrowDSL: Platform for Incidents Management in a Smart City Context |
| title_full_unstemmed | CrowDSL: Platform for Incidents Management in a Smart City Context |
| title_short | CrowDSL: Platform for Incidents Management in a Smart City Context |
| title_sort | crowdsl platform for incidents management in a smart city context |
| topic | smart city internet of things domain-specific language model-driven engineering crowd-sourcing citizens |
| url | https://www.mdpi.com/2504-2289/5/3/44 |
| work_keys_str_mv | AT dariorodriguezgarcia crowdslplatformforincidentsmanagementinasmartcitycontext AT vicentegarciadiaz crowdslplatformforincidentsmanagementinasmartcitycontext AT cristiangonzalezgarcia crowdslplatformforincidentsmanagementinasmartcitycontext |