2021
DOI: 10.1007/978-3-030-78145-3
|View full text |Cite
|
Sign up to set email alerts
|

The Philosophy of Geo-Ontologies

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
3
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
5
1

Relationship

1
5

Authors

Journals

citations
Cited by 6 publications
(3 citation statements)
references
References 0 publications
0
3
0
Order By: Relevance
“…In spatiotemporal mining and reasoning applied in geographic information systems (GIS), challenging issues arise related to spatiotemporal relationships, interdisciplinarity, discretization, and data characteristics [92], particularly regarding the human role in understanding and processing. Experiments reveal that individuals tend to conceptualize geographic phenomena based on systems of objects organized into categories, relying on a universal "common sense geography" shared by non-experts [2].…”
Section: Example I: Spatial Notions In Socio-geodemographic Systemsmentioning
confidence: 99%
See 2 more Smart Citations
“…In spatiotemporal mining and reasoning applied in geographic information systems (GIS), challenging issues arise related to spatiotemporal relationships, interdisciplinarity, discretization, and data characteristics [92], particularly regarding the human role in understanding and processing. Experiments reveal that individuals tend to conceptualize geographic phenomena based on systems of objects organized into categories, relying on a universal "common sense geography" shared by non-experts [2].…”
Section: Example I: Spatial Notions In Socio-geodemographic Systemsmentioning
confidence: 99%
“…Ontologies encode the formal structure of existence (formal ontologies) and categorize what exists in a domain (material or domain ontologies), connecting scientific disciplines by making their assumptions and commitments explicit. The proliferation of ontological research, sometimes called the "Ontological Turn", demonstrates the growing recognition of the importance of formalizing knowledge [2]. In a more applied context, viewing ontologies as the ideal references for accuracy in data science (e.g., in knowledge graphs) makes their creation, usage, and maintenance essential tasks for the robustness of results and their explainability.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation