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Towards a representation of uncertain geospatial information in knowledge graphs

Authors :
Cadorel, Lucie
Tettamanzi, Andrea G. B.
Gandon, Fabien
Web-Instrumented Man-Machine Interactions, Communities and Semantics (WIMMICS)
Inria Sophia Antipolis - Méditerranée (CRISAM)
Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Scalable and Pervasive softwARe and Knowledge Systems (Laboratoire I3S - SPARKS)
Laboratoire d'Informatique, Signaux, et Systèmes de Sophia Antipolis (I3S)
Université Nice Sophia Antipolis (1965 - 2019) (UNS)
COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (1965 - 2019) (UNS)
COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)-Laboratoire d'Informatique, Signaux, et Systèmes de Sophia Antipolis (I3S)
COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Université Côte d'Azur (UCA)
K-City Labs - Kinaxia Group
ACM
ANR-19-P3IA-0002,3IA@cote d'azur,3IA Côte d'Azur(2019)
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