ARMONIZZAZIONE E CONDIVISIONE INTEROPERABILE DI DATI GEOSPAZIALI MULTI TEMPORALI PER LA GESTIONE DEL PAESAGGIO RURALE
Recently, practitioners and researchers dealing with rural landscape analysis and characterization are facing the challenge of managing and sharing huge amount of geospatial data and information. Thanks to the internet diffusion and speed, it is easier to share data in the World Wide Web. It is wort...
| Main Authors: | , , |
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| Format: | Article |
| Language: | Italian |
| Published: |
"Mediterranea" University of Reggio Calabria
2018-12-01
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| Series: | LaborEst |
| Subjects: | |
| Online Access: | http://pkp.unirc.it/ojs/index.php/LaborEst/article/view/339 |
| _version_ | 1817991910056263680 |
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| author | Simone Lanucara Salvatore Praticò Giuseppe Modica |
| author_facet | Simone Lanucara Salvatore Praticò Giuseppe Modica |
| author_sort | Simone Lanucara |
| collection | DOAJ |
| description | Recently, practitioners and researchers dealing with rural landscape analysis and characterization are facing the challenge of managing and sharing huge amount of geospatial data and information. Thanks to the internet diffusion and speed, it is easier to share data in the World Wide Web. It is worth highlighting that the data sharing process can improve participatory planning processes. Moreover, is also allows an easy comparison among different landscape areas. Sharing can be done with varying degrees of interoperability and different software tools, proprietary as well as free and open source (FOSS). A widespread way to share geospatial data and metadata is by Spatial Data Infrastructures (SDIs) taking advantages on the use of Open Geospatial Consortium (OGC) standards. By the way, data sharing through OGC services lack in data harmonization and in semantic enablement, thus making difficult compare, search and analyze data given by different sources. Different data schemas and linguistic barrier hinder the usefulness of data obtained from different sources. To overcome these limitations, in this study we show a novel data workflow implemented for sharing in an interoperable, harmonized and semantically enriched way, multi-temporal land cover (LC) datasets collected in a previous landscape characterization researches. |
| first_indexed | 2024-04-14T01:19:32Z |
| format | Article |
| id | doaj.art-36a323380f5f45a99725c201c3683cf6 |
| institution | Directory Open Access Journal |
| issn | 1973-7688 2421-3187 |
| language | Italian |
| last_indexed | 2024-04-14T01:19:32Z |
| publishDate | 2018-12-01 |
| publisher | "Mediterranea" University of Reggio Calabria |
| record_format | Article |
| series | LaborEst |
| spelling | doaj.art-36a323380f5f45a99725c201c3683cf62022-12-22T02:20:42Zita"Mediterranea" University of Reggio CalabriaLaborEst1973-76882421-31872018-12-0117394410.19254/LaborEst.17.07ARMONIZZAZIONE E CONDIVISIONE INTEROPERABILE DI DATI GEOSPAZIALI MULTI TEMPORALI PER LA GESTIONE DEL PAESAGGIO RURALESimone Lanucara0Salvatore Praticò1Giuseppe Modica2Mediterranea UniversityMediterranea UniversityMediterranea UniversityRecently, practitioners and researchers dealing with rural landscape analysis and characterization are facing the challenge of managing and sharing huge amount of geospatial data and information. Thanks to the internet diffusion and speed, it is easier to share data in the World Wide Web. It is worth highlighting that the data sharing process can improve participatory planning processes. Moreover, is also allows an easy comparison among different landscape areas. Sharing can be done with varying degrees of interoperability and different software tools, proprietary as well as free and open source (FOSS). A widespread way to share geospatial data and metadata is by Spatial Data Infrastructures (SDIs) taking advantages on the use of Open Geospatial Consortium (OGC) standards. By the way, data sharing through OGC services lack in data harmonization and in semantic enablement, thus making difficult compare, search and analyze data given by different sources. Different data schemas and linguistic barrier hinder the usefulness of data obtained from different sources. To overcome these limitations, in this study we show a novel data workflow implemented for sharing in an interoperable, harmonized and semantically enriched way, multi-temporal land cover (LC) datasets collected in a previous landscape characterization researches.http://pkp.unirc.it/ojs/index.php/LaborEst/article/view/339Spatial Data InfrastructuresData harmonizationSemantic harmonizationINSPIRELandscape |
| spellingShingle | Simone Lanucara Salvatore Praticò Giuseppe Modica ARMONIZZAZIONE E CONDIVISIONE INTEROPERABILE DI DATI GEOSPAZIALI MULTI TEMPORALI PER LA GESTIONE DEL PAESAGGIO RURALE LaborEst Spatial Data Infrastructures Data harmonization Semantic harmonization INSPIRE Landscape |
| title | ARMONIZZAZIONE E CONDIVISIONE INTEROPERABILE DI DATI GEOSPAZIALI MULTI TEMPORALI PER LA GESTIONE DEL PAESAGGIO RURALE |
| title_full | ARMONIZZAZIONE E CONDIVISIONE INTEROPERABILE DI DATI GEOSPAZIALI MULTI TEMPORALI PER LA GESTIONE DEL PAESAGGIO RURALE |
| title_fullStr | ARMONIZZAZIONE E CONDIVISIONE INTEROPERABILE DI DATI GEOSPAZIALI MULTI TEMPORALI PER LA GESTIONE DEL PAESAGGIO RURALE |
| title_full_unstemmed | ARMONIZZAZIONE E CONDIVISIONE INTEROPERABILE DI DATI GEOSPAZIALI MULTI TEMPORALI PER LA GESTIONE DEL PAESAGGIO RURALE |
| title_short | ARMONIZZAZIONE E CONDIVISIONE INTEROPERABILE DI DATI GEOSPAZIALI MULTI TEMPORALI PER LA GESTIONE DEL PAESAGGIO RURALE |
| title_sort | armonizzazione e condivisione interoperabile di dati geospaziali multi temporali per la gestione del paesaggio rurale |
| topic | Spatial Data Infrastructures Data harmonization Semantic harmonization INSPIRE Landscape |
| url | http://pkp.unirc.it/ojs/index.php/LaborEst/article/view/339 |
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