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Towards a representation of uncertain geospatial information in knowledge graphs
- Source :
- GKG 2022-Proceedings of the 1th ACM SIGSPATIAL International Workshop on Geospatial 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⟩
- Publication Year :
- 2022
- Publisher :
- ACM, 2022.
-
Abstract
- International audience; 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.
Details
- Database :
- OpenAIRE
- Journal :
- Proceedings of the 1st ACM SIGSPATIAL International Workshop on Geospatial Knowledge Graphs
- Accession number :
- edsair.doi.dedup.....83f8b88324681336ef90ab04b789ea99