Details
| Original language | English |
|---|---|
| Title of host publication | Volunteered Geographic Information |
| Subtitle of host publication | Interpretation, Visualization and Social Context |
| Editors | Dirk Burghardt, Elena Demidova, Daniel A. Keim |
| Place of Publication | Cham |
| Pages | 3-19 |
| Number of pages | 17 |
| ISBN (electronic) | 978-3-031-35374-1 |
| Publication status | Published - 9 Dec 2023 |
Abstract
Knowledge graphs provide standardized machine-readable representations of real-world entities and their relations. However, the coverage of geographic entities in popular general-purpose knowledge graphs, such as Wikidata and DBpe- dia, is limited. An essential source of the openly available information regarding geographic entities is OpenStreetMap (OSM). In contrast to knowledge graphs, OSM lacks a clear semantic representation of the rich geographic information it contains. The generation of semantic representations of OSM entities and their interlinking with knowledge graphs are inherently challenging due to OSM's large, heterogeneous, ambiguous, and flat schema and annotation sparsity. This chapter discusses recent knowledge graph completion methods for geographic data, comprising entity linking and schema inference for geographic entities, to provide semantic geographic information in knowledge graphs. Furthermore, we present the WorldKG knowledge graph, lifting OSM entities into a semantic representation.
Keywords
- Geographic knowledge graphs, WorldKG
ASJC Scopus subject areas
- Computer Science(all)
- General Computer Science
- Earth and Planetary Sciences(all)
- General Earth and Planetary Sciences
- Social Sciences(all)
- General Social Sciences
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Volunteered Geographic Information: Interpretation, Visualization and Social Context. ed. / Dirk Burghardt; Elena Demidova; Daniel A. Keim. 1. ed. Cham, 2023. p. 3-19.
Research output: Chapter in book/report/conference proceeding › Contribution to book/anthology › Research › peer review
}
TY - CHAP
T1 - WorldKG
T2 - World-Scale Completion of Geographic Information
AU - Dsouza, Alishiba
AU - Tempelmeier, Nicolas
AU - Gottschalk, Simon
AU - Yu, Ran
AU - Demidova, Elena
N1 - Publisher Copyright: © The Author(s) 2024. All rights reserved.
PY - 2023/12/9
Y1 - 2023/12/9
N2 - Knowledge graphs provide standardized machine-readable representations of real-world entities and their relations. However, the coverage of geographic entities in popular general-purpose knowledge graphs, such as Wikidata and DBpe- dia, is limited. An essential source of the openly available information regarding geographic entities is OpenStreetMap (OSM). In contrast to knowledge graphs, OSM lacks a clear semantic representation of the rich geographic information it contains. The generation of semantic representations of OSM entities and their interlinking with knowledge graphs are inherently challenging due to OSM's large, heterogeneous, ambiguous, and flat schema and annotation sparsity. This chapter discusses recent knowledge graph completion methods for geographic data, comprising entity linking and schema inference for geographic entities, to provide semantic geographic information in knowledge graphs. Furthermore, we present the WorldKG knowledge graph, lifting OSM entities into a semantic representation.
AB - Knowledge graphs provide standardized machine-readable representations of real-world entities and their relations. However, the coverage of geographic entities in popular general-purpose knowledge graphs, such as Wikidata and DBpe- dia, is limited. An essential source of the openly available information regarding geographic entities is OpenStreetMap (OSM). In contrast to knowledge graphs, OSM lacks a clear semantic representation of the rich geographic information it contains. The generation of semantic representations of OSM entities and their interlinking with knowledge graphs are inherently challenging due to OSM's large, heterogeneous, ambiguous, and flat schema and annotation sparsity. This chapter discusses recent knowledge graph completion methods for geographic data, comprising entity linking and schema inference for geographic entities, to provide semantic geographic information in knowledge graphs. Furthermore, we present the WorldKG knowledge graph, lifting OSM entities into a semantic representation.
KW - Geographic knowledge graphs
KW - WorldKG
UR - http://www.scopus.com/inward/record.url?scp=85196142054&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-35374-1_1
DO - 10.1007/978-3-031-35374-1_1
M3 - Contribution to book/anthology
AN - SCOPUS:85196142054
SN - 978-3-031-35373-4
SN - 978-3-031-35376-5
SP - 3
EP - 19
BT - Volunteered Geographic Information
A2 - Burghardt, Dirk
A2 - Demidova, Elena
A2 - Keim, Daniel A.
CY - Cham
ER -