2016
DOI: 10.1007/978-3-319-34129-3_34
|View full text |Cite
|
Sign up to set email alerts
|

Supporting Geo-Ontology Engineering Through Spatial Data Analytics

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2020
2020
2020
2020

Publication Types

Select...
1

Relationship

1
0

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 21 publications
0
1
0
Order By: Relevance
“…For example, spatial data analytics of OpenStreetMap manual tagging showed to be beneficial for geo-ontology engineering, by surfacing latent semantic differences in concepts by different communities [20]: the same "concept" of spatial object (e.g., a pub) may have slightly diverging meanings in different places (e.g., a place to dine in UK, a bar to have a drink in Italy). This implicit semantics, when extracted and made explicit, can be exploited also for explanation generation, because it can contribute to convey the right "semantics" to the right community.…”
Section: People-specific Semanticsmentioning
confidence: 99%
“…For example, spatial data analytics of OpenStreetMap manual tagging showed to be beneficial for geo-ontology engineering, by surfacing latent semantic differences in concepts by different communities [20]: the same "concept" of spatial object (e.g., a pub) may have slightly diverging meanings in different places (e.g., a place to dine in UK, a bar to have a drink in Italy). This implicit semantics, when extracted and made explicit, can be exploited also for explanation generation, because it can contribute to convey the right "semantics" to the right community.…”
Section: People-specific Semanticsmentioning
confidence: 99%