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Communication Dans Un Congrès Année : 2022

Towards a representation of uncertain geospatial information in knowledge graphs

Résumé

This paper highlights the challenges of representing uncertain geospatial information in knowledge graphs. We propose to use Real Estate advertisements since professionals use a lot of vernacular and vague places in order to promote a house to their target audience. Then, we suggest to model local place names using fuzzy set theory. Finally, we discuss how to build a knowledge graph that represents extracted geospatial objects and their uncertainty. CCS CONCEPTS • Information systems → Geographic information systems.
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Dates et versions

hal-03913504 , version 1 (27-12-2022)

Identifiants

Citer

Lucie Cadorel, Andrea G. B. Tettamanzi, Fabien Gandon. Towards a representation of uncertain geospatial information in knowledge graphs. GKG 2022 - Proceedings of the 1th ACM SIGSPATIAL International Workshop on Geospatial Knowledge Graphs, Nov 2022, Seattle, Washington, United States. pp.1-2, ⟨10.1145/3557990.3567588⟩. ⟨hal-03913504⟩
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