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Poster De Conférence Année : 2018

An Ontology-based Algorithm for Managing the Evolution of Multi-Level Territorial Partitions

Résumé

Through times, regions all over the world are very often subject to change (their names, their belonging, their composition, and their geometries). In this paper, we present a Semantic Matching Algorithm for automatically detecting, describing and publishing in the Linked Open Data Web, rich descriptions of changes occurring in multi-level territorial partitions (e.g., partitions made of major regions, regions and districts levels). We adopt a Linked Data (LD) approach for the semantic descriptions of the changes they undergo, relying on two existing generic ontologies, TSN-Ontology and TSNChange Ontology. The created RDF graphs draw the lineage of each region over time (horizontal reading of the graphs), as well as the propagation of a change event through the partition levels (vertical reading).
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hal-01929649 , version 1 (21-11-2018)

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Camille Bernard, Christine Plumejeaud-Perreau, Marlène Villanova-Oliver, Jérôme Gensel, Hy Dao. An Ontology-based Algorithm for Managing the Evolution of Multi-Level Territorial Partitions. 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2018), Nov 2018, Seattle, WA, United States. , 2018, ⟨10.1145/3274895.3274944⟩. ⟨hal-01929649⟩
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