Converting and Enriching Geo-annotated Event Data: Integrating Information for Ukraine Resilience

Manar Attar; Shuai Wang; Ronald Siebes; Eirik Kultorp

doi:10.1145/3589132.3625580

Converting and Enriching Geo-annotated Event Data: Integrating Information for Ukraine Resilience

Manar Attar, Shuai Wang, Ronald Siebes, Eirik Kultorp

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

Abstract

The mission of resilience of Ukrainian cities calls for international collaboration with the scientific community to increase the quality of information by identifying and integrating information from various news and social media sources. Linked Data technology can be used to unify, enrich, and integrate data from multiple sources. In our work, we focus on datasets about damaging events in Ukraine due to Russia's invasion since February 2022. We convert two selected datasets to Linked Data and enrich them with additional geospatial information. Following that, we present an algorithm for the detection of identical events from different datasets. Our pipeline makes it easy to convert and enrich datasets to integrated Linked Data. The resulting dataset consists of 10K reported events covering damage to hospitals, schools, roads, residential buildings, etc. Finally, we demonstrate in use cases how our dataset can be applied to different scenarios for resilience purposes.

Original language	English
Title of host publication	SIGSPATIAL '23
Subtitle of host publication	Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems
Editors	Maria Luisa Damiani, Matthias Renz, Ahmed Eldawy, Peer Kroger, Mario A. Nascimento
Publisher	Association for Computing Machinery
Pages	1-4
Number of pages	4
ISBN (Electronic)	9798400701689
DOIs	https://doi.org/10.1145/3589132.3625580
Publication status	Published - Nov 2023
Event	31st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2023 - Hamburg, Germany Duration: 13 Nov 2023 → 16 Nov 2023

Publication series

Name	GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems

Conference

Conference	31st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2023
Country/Territory	Germany
City	Hamburg
Period	13/11/23 → 16/11/23

Bibliographical note

Funding Information:
Acknowledgement. The authors thank Tianyang Lu, Zhisheng Huang, Igor Potapov, Olexandr Konovalov, and volunteers for their help.

Publisher Copyright:
© 2023 Owner/Author(s).

Funding

Acknowledgement. The authors thank Tianyang Lu, Zhisheng Huang, Igor Potapov, Olexandr Konovalov, and volunteers for their help.

Keywords

data integration
linked geospatial data
linked open data
Ukraine resilience

Access to Document

10.1145/3589132.3625580

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Attar, M., Wang, S., Siebes, R., & Kultorp, E. (2023). Converting and Enriching Geo-annotated Event Data: Integrating Information for Ukraine Resilience. In M. L. Damiani, M. Renz, A. Eldawy, P. Kroger, & M. A. Nascimento (Eds.), SIGSPATIAL '23: Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems (pp. 1-4). Article 36 (GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems). Association for Computing Machinery. https://doi.org/10.1145/3589132.3625580

Attar, Manar ; Wang, Shuai ; Siebes, Ronald et al. / Converting and Enriching Geo-annotated Event Data : Integrating Information for Ukraine Resilience. SIGSPATIAL '23: Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems. editor / Maria Luisa Damiani ; Matthias Renz ; Ahmed Eldawy ; Peer Kroger ; Mario A. Nascimento. Association for Computing Machinery, 2023. pp. 1-4 (GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems).

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abstract = "The mission of resilience of Ukrainian cities calls for international collaboration with the scientific community to increase the quality of information by identifying and integrating information from various news and social media sources. Linked Data technology can be used to unify, enrich, and integrate data from multiple sources. In our work, we focus on datasets about damaging events in Ukraine due to Russia's invasion since February 2022. We convert two selected datasets to Linked Data and enrich them with additional geospatial information. Following that, we present an algorithm for the detection of identical events from different datasets. Our pipeline makes it easy to convert and enrich datasets to integrated Linked Data. The resulting dataset consists of 10K reported events covering damage to hospitals, schools, roads, residential buildings, etc. Finally, we demonstrate in use cases how our dataset can be applied to different scenarios for resilience purposes.",

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Attar, M, Wang, S , Siebes, R & Kultorp, E 2023, Converting and Enriching Geo-annotated Event Data: Integrating Information for Ukraine Resilience. in ML Damiani, M Renz, A Eldawy, P Kroger & MA Nascimento (eds), SIGSPATIAL '23: Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems., 36, GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems, Association for Computing Machinery, pp. 1-4, 31st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2023, Hamburg, Germany, 13/11/23. https://doi.org/10.1145/3589132.3625580

Converting and Enriching Geo-annotated Event Data: Integrating Information for Ukraine Resilience. / Attar, Manar; Wang, Shuai ; Siebes, Ronald et al.
SIGSPATIAL '23: Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems. ed. / Maria Luisa Damiani; Matthias Renz; Ahmed Eldawy; Peer Kroger; Mario A. Nascimento. Association for Computing Machinery, 2023. p. 1-4 36 (GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems).

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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Attar M, Wang S , Siebes R, Kultorp E. Converting and Enriching Geo-annotated Event Data: Integrating Information for Ukraine Resilience. In Damiani ML, Renz M, Eldawy A, Kroger P, Nascimento MA, editors, SIGSPATIAL '23: Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems. Association for Computing Machinery. 2023. p. 1-4. 36. (GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems). doi: 10.1145/3589132.3625580

Converting and Enriching Geo-annotated Event Data: Integrating Information for Ukraine Resilience

Abstract

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Bibliographical note

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Keywords

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