Details
| Original language | English |
|---|---|
| Title of host publication | CIKM 2021 - Proceedings of the 30th ACM International Conference on Information and Knowledge Management |
| Pages | 4475-4484 |
| Number of pages | 10 |
| ISBN (electronic) | 9781450384469 |
| Publication status | Published - 30 Oct 2021 |
| Event | 30th ACM International Conference on Information and Knowledge Management, CIKM 2021 - Virtual, Online, Australia Duration: 1 Nov 2021 → 5 Nov 2021 |
Publication series
| Name | International Conference on Information and Knowledge Management, Proceedings |
|---|
Abstract
OpenStreetMap is a rich source of openly available geographic information. However, the representation of geographic entities, e.g., buildings, mountains, and cities, within OpenStreetMap is highly heterogeneous, diverse, and incomplete. As a result, this rich data source is hardly usable for real-world applications. This paper presents WorldKG - a new geographic knowledge graph aiming to provide a comprehensive semantic representation of geographic entities in OpenStreetMap. We describe the WorldKG knowledge graph, including its ontology that builds the semantic dataset backbone, the extraction procedure of the ontology and geographic entities from OpenStreetMap, and the methods to enhance entity annotation. We perform statistical and qualitative dataset assessment, demonstrating the large scale and high precision of the semantic geographic information in WorldKG.
Keywords
- knowledge graph, openstreetmap, semantic geospatial data
ASJC Scopus subject areas
- Business, Management and Accounting(all)
- General Business,Management and Accounting
- Decision Sciences(all)
- General Decision Sciences
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CIKM 2021 - Proceedings of the 30th ACM International Conference on Information and Knowledge Management. 2021. p. 4475-4484 (International Conference on Information and Knowledge Management, Proceedings).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - WorldKG
T2 - 30th ACM International Conference on Information and Knowledge Management, CIKM 2021
AU - Dsouza, Alishiba
AU - Tempelmeier, Nicolas
AU - Yu, Ran
AU - Gottschalk, Simon
AU - Demidova, Elena
N1 - Funding Information: Acknowledgements. This work was partially funded by DFG, German Research Foundation under “WorldKG” (424985896).
PY - 2021/10/30
Y1 - 2021/10/30
N2 - OpenStreetMap is a rich source of openly available geographic information. However, the representation of geographic entities, e.g., buildings, mountains, and cities, within OpenStreetMap is highly heterogeneous, diverse, and incomplete. As a result, this rich data source is hardly usable for real-world applications. This paper presents WorldKG - a new geographic knowledge graph aiming to provide a comprehensive semantic representation of geographic entities in OpenStreetMap. We describe the WorldKG knowledge graph, including its ontology that builds the semantic dataset backbone, the extraction procedure of the ontology and geographic entities from OpenStreetMap, and the methods to enhance entity annotation. We perform statistical and qualitative dataset assessment, demonstrating the large scale and high precision of the semantic geographic information in WorldKG.
AB - OpenStreetMap is a rich source of openly available geographic information. However, the representation of geographic entities, e.g., buildings, mountains, and cities, within OpenStreetMap is highly heterogeneous, diverse, and incomplete. As a result, this rich data source is hardly usable for real-world applications. This paper presents WorldKG - a new geographic knowledge graph aiming to provide a comprehensive semantic representation of geographic entities in OpenStreetMap. We describe the WorldKG knowledge graph, including its ontology that builds the semantic dataset backbone, the extraction procedure of the ontology and geographic entities from OpenStreetMap, and the methods to enhance entity annotation. We perform statistical and qualitative dataset assessment, demonstrating the large scale and high precision of the semantic geographic information in WorldKG.
KW - knowledge graph
KW - openstreetmap
KW - semantic geospatial data
UR - http://www.scopus.com/inward/record.url?scp=85119207997&partnerID=8YFLogxK
U2 - 10.48550/arXiv.2109.10036
DO - 10.48550/arXiv.2109.10036
M3 - Conference contribution
AN - SCOPUS:85119207997
T3 - International Conference on Information and Knowledge Management, Proceedings
SP - 4475
EP - 4484
BT - CIKM 2021 - Proceedings of the 30th ACM International Conference on Information and Knowledge Management
Y2 - 1 November 2021 through 5 November 2021
ER -