Inferring New Information from a Knowledge Graph in Crisis Management: A Case Study

Julie Bu Daher, Tom Huygue, Nathalie Hernandez, Patricia Stolf

2022

Abstract

Natural crises are dangerous events that can threaten lives and lead to severe damages. Crisis-related data can be heterogeneous and be provided from multiple data sources. These data can be formally described using ontologies and then integrated and structured forming knowledge graphs. Inferring new information from knowledge graphs can strongly assist in the various phases of the crisis management process. Different approaches exist in the literature for inferring new information from knowledge graphs. In this paper, we present a case study of a flood crisis where we discuss three approaches for inferring flood-related information, and we experimentally evaluate these approaches using real flood-related data and synthetic data for further analysis. We discuss the interest of using each of these approaches and detail its advantages as well as its limitations.

Paper Citation

in Harvard Style

Bu Daher J., Huygue T., Hernandez N. and Stolf P. (2022). Inferring New Information from a Knowledge Graph in Crisis Management: A Case Study. In Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2022) - Volume 2: KEOD; ISBN 978-989-758-614-9, SciTePress, pages 43-54. DOI: 10.5220/0011511200003335

in Bibtex Style

@conference{keod22,
author={Julie Bu Daher and Tom Huygue and Nathalie Hernandez and Patricia Stolf},
title={Inferring New Information from a Knowledge Graph in Crisis Management: A Case Study},
booktitle={Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2022) - Volume 2: KEOD},
year={2022},
pages={43-54},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011511200003335},
isbn={978-989-758-614-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2022) - Volume 2: KEOD
TI - Inferring New Information from a Knowledge Graph in Crisis Management: A Case Study
SN - 978-989-758-614-9
AU - Bu Daher J.
AU - Huygue T.
AU - Hernandez N.
AU - Stolf P.
PY - 2022
SP - 43
EP - 54
DO - 10.5220/0011511200003335
PB - SciTePress