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Supporting Geo-Ontology Engineering through Spatial Data Analytics
Published on Jul 28, 20161289 Views
Geo-ontologies are becoming first-class artifacts in spatial data management because of their ability to represent places and points of interest. Several general-purpose geo-ontologies are available a
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Chapter list
Supporting Geo-Ontology Engineering through Spatial Data Analytics00:00
Introduction00:27
Objectives02:21
Experimental settings03:16
Objective 1: Re-Engineering SpatialFeatures05:24
Analysing Spatial Objects' Distribution(1/4)06:06
Analysing Spatial Objects' Distribution(2/4)07:05
Analysing Spatial Objects' Distribution(3/4)07:54
Analysing Spatial Objects' Distribution(4/4)08:40
Clustering Spatial Objects(1/2)09:21
Clustering Spatial Objects(2/2)10:12
What do clusters and feature distributions suggest to ontology engineers?11:09
Objective 2: Specifying Spatial Neighborhoods12:31
Identifying Neighborhoods(1/3)13:06
Identifying Neighborhoods(2/3)13:33
Identifying Neighborhoods(3/3)13:56
Characterizing Neighborhoods(1/3)14:46
Characterizing Neighborhoods(2/3)15:25
Characterizing Neighborhoods(3/3)16:30
Semantically Querying Neighborhoods(1/2)17:09
Semantically Querying Neighborhoods(2/2)17:49
What does Spatial Neighborhoodsanalysis suggest to ontology engineers?18:34
Conclusions19:56
Future Work20:31
Supporting Geo-Ontology Engineering through Spatial Data Analytics21:38