Model-Driven Development of Web Augmenters for Facilitating Environmental Open Data Consumption
Citizens must consume open data published by public institutions to be aware of environmental issues of SDGs (Sustainable Development Goals). However, the existence of many related heterogeneous open data sets hampers citizens to access and consume them to raise environmental awareness. To overcome...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10937036/ |
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| author | Paula Gonzalez-Martinez Cesar Gonzalez-Mora Irene Garrigos Jose-Norberto Mazon Jose M. Cecilia |
| author_facet | Paula Gonzalez-Martinez Cesar Gonzalez-Mora Irene Garrigos Jose-Norberto Mazon Jose M. Cecilia |
| author_sort | Paula Gonzalez-Martinez |
| collection | DOAJ |
| description | Citizens must consume open data published by public institutions to be aware of environmental issues of SDGs (Sustainable Development Goals). However, the existence of many related heterogeneous open data sets hampers citizens to access and consume them to raise environmental awareness. To overcome this scenario, in this paper, we introduce a model-driven development approach to automatically generate maps as web augmenters to allow citizens to surf the Web while they 1) homogeneously access environmental open data, and 2) easily visualize this data on the map. To show the feasibility of our approach, we focus on a case study of biodiversity maps, which are related to SDG 14 (life below water), and 15 (life on land). Through this case study, a web augmenter applied to Wikipedia is automatically generated from environmental open data related to “Mar Menor” coastal lagoon; a highly anthropized ecosystem located in Southeast Spain. A focus group is conducted to validate that our generated web augmenter is easy to use and useful for environmental open data consumption. |
| format | Article |
| id | doaj-art-cd4c3351c7aa47af94c83ec4d0ddb576 |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-cd4c3351c7aa47af94c83ec4d0ddb5762025-08-20T03:42:02ZengIEEEIEEE Access2169-35362025-01-0113515515157210.1109/ACCESS.2025.355368610937036Model-Driven Development of Web Augmenters for Facilitating Environmental Open Data ConsumptionPaula Gonzalez-Martinez0Cesar Gonzalez-Mora1https://orcid.org/0000-0002-6878-5321Irene Garrigos2Jose-Norberto Mazon3https://orcid.org/0000-0001-7924-0880Jose M. Cecilia4https://orcid.org/0000-0001-5648-214XDepartment of Software and Computing Systems, Universidad de Alicante, Alicante, SpainDepartment of Software and Computing Systems, Universidad de Alicante, Alicante, SpainDepartment of Software and Computing Systems, Universidad de Alicante, Alicante, SpainDepartment of Software and Computing Systems, Universidad de Alicante, Alicante, SpainComputer Engineering Department, Universitat Politècnica de València, Valencia, SpainCitizens must consume open data published by public institutions to be aware of environmental issues of SDGs (Sustainable Development Goals). However, the existence of many related heterogeneous open data sets hampers citizens to access and consume them to raise environmental awareness. To overcome this scenario, in this paper, we introduce a model-driven development approach to automatically generate maps as web augmenters to allow citizens to surf the Web while they 1) homogeneously access environmental open data, and 2) easily visualize this data on the map. To show the feasibility of our approach, we focus on a case study of biodiversity maps, which are related to SDG 14 (life below water), and 15 (life on land). Through this case study, a web augmenter applied to Wikipedia is automatically generated from environmental open data related to “Mar Menor” coastal lagoon; a highly anthropized ecosystem located in Southeast Spain. A focus group is conducted to validate that our generated web augmenter is easy to use and useful for environmental open data consumption.https://ieeexplore.ieee.org/document/10937036/Web augmentationopen dataenvironmentsustainable development goalsmodel-driven development |
| spellingShingle | Paula Gonzalez-Martinez Cesar Gonzalez-Mora Irene Garrigos Jose-Norberto Mazon Jose M. Cecilia Model-Driven Development of Web Augmenters for Facilitating Environmental Open Data Consumption IEEE Access Web augmentation open data environment sustainable development goals model-driven development |
| title | Model-Driven Development of Web Augmenters for Facilitating Environmental Open Data Consumption |
| title_full | Model-Driven Development of Web Augmenters for Facilitating Environmental Open Data Consumption |
| title_fullStr | Model-Driven Development of Web Augmenters for Facilitating Environmental Open Data Consumption |
| title_full_unstemmed | Model-Driven Development of Web Augmenters for Facilitating Environmental Open Data Consumption |
| title_short | Model-Driven Development of Web Augmenters for Facilitating Environmental Open Data Consumption |
| title_sort | model driven development of web augmenters for facilitating environmental open data consumption |
| topic | Web augmentation open data environment sustainable development goals model-driven development |
| url | https://ieeexplore.ieee.org/document/10937036/ |
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