A holistic approach to aligning geospatial data with multidimensional similarity measuring
Semantically aligning the heterogeneous geospatial datasets (GDs) produced by different organizations demands efficient similarity matching methods. However, the strategies employed to align the schema (concept and property) and instances are usually not reusable, and the effects of unbalanced infor...
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| Autori principali: | , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Taylor & Francis Group
2018-08-01
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| Serie: | International Journal of Digital Earth |
| Soggetti: | |
| Accesso online: | http://dx.doi.org/10.1080/17538947.2017.1359688 |
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