From Data to Insights: Constructing Spatiotemporal Knowledge Graphs for City Resilience Use Cases. Anjomshoaa, A., Schuster, H., Wachs, J., & Polleres, A. In Proceedings of the Second International Workshop on Linked Data-driven Resilience Research 2023 (D2R2 2023), co-located with Extended Semantic Web Conference 2023 (ESWC 2023), volume 3401, of CEUR Workshop Proceedings, May, 2023. CEUR-WS.org.
Paper abstract bibtex Data integration plays a crucial role in crisis management and city resilience use cases by enabling the consolidation of information from scattere sources into a unified view, thereby allowing decision-makers to gain a more complete and accurate understanding of the situation at hand. In this paper, we introduce the CRISP Knowledge Graph, constructed from various data resources to present a uniform view of infrastructure networks and services pertinent to crisis management to enable informed and targeted interventions to address crises management use cases. We provide a brief explanation of the semantic model and its significance in building a comprehensive knowledge graph and then outline our approach for incorporating some large spatiotemporal datasets into this framework, considering the unique challenges that arise in this process.
@inproceedings{anjo-etal2023D2R2,
author = {Amin Anjomshoaa and Hannah Schuster and Johannes Wachs and Axel Polleres},
abstract = {Data integration plays a crucial role in crisis management and city resilience use cases by enabling the consolidation of information from scattere sources into a unified view, thereby allowing decision-makers to gain a more complete and accurate understanding of the situation at hand. In this paper, we introduce the CRISP Knowledge Graph, constructed from various data resources to present a uniform view of infrastructure networks and services pertinent to crisis management to enable informed and targeted interventions to address crises management use cases. We provide a brief explanation of the semantic model and its significance in building a comprehensive knowledge graph and then outline our approach for incorporating some large spatiotemporal datasets into this framework, considering the unique challenges that arise in this process.},
title = {From Data to Insights: Constructing Spatiotemporal
Knowledge Graphs for City Resilience Use Cases},
booktitle = {Proceedings of the Second International Workshop on Linked Data-driven Resilience Research 2023 (D2R2 2023), co-located with Extended Semantic Web Conference 2023 (ESWC 2023)},
year = 2023,
day = 28,
month = may,
url = {https://ceur-ws.org/Vol-3401/paper1.pdf},
series = {{CEUR} Workshop Proceedings},
volume = 3401,
publisher = {CEUR-WS.org},
}
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