Discovering Links between Geospatial Data Sources in the Web of Data: The Open Geospatial Engine Approach

Bibliographic Details
Title: Discovering Links between Geospatial Data Sources in the Web of Data: The Open Geospatial Engine Approach
Authors: Lianlian He, Ruixiang Liu
Source: ISPRS International Journal of Geo-Information, Vol 13, Iss 5, p 143 (2024)
Publisher Information: MDPI AG, 2024.
Publication Year: 2024
Collection: LCC:Geography (General)
Subject Terms: Web of Data, geospatial Linked Open Data, Linked Data, spatial matching, link discovery, Geography (General), G1-922
More Details: The Web of Data has been fueled significantly by geospatial data over the last few years. In the current link discovery frameworks, there is still a lack of robust support for finding geospatial-aware links between geospatial data sources in the Web of Data. They are also limited in efficient association capabilities for large-scale datasets. This paper extends the data integration capability based on the spatial metrics in the open geospatial engine OGE. These metrics include topological relationships and spatial matching between geospatial entities within multiple geospatial data sources. Thus, the tool can be employed by data publishers to set geospatial-aware links to facilitate geospatial data and knowledge discovery in the Web of Data. Several geospatial data sources are used to demonstrate the usability and effectiveness of the approach and tool implementation.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 2220-9964
Relation: https://www.mdpi.com/2220-9964/13/5/143; https://doaj.org/toc/2220-9964
DOI: 10.3390/ijgi13050143
Access URL: https://doaj.org/article/361ea71642984bf99cde3e7cdb94280b
Accession Number: edsdoj.361ea71642984bf99cde3e7cdb94280b
Database: Directory of Open Access Journals
More Details
ISSN:22209964
DOI:10.3390/ijgi13050143
Published in:ISPRS International Journal of Geo-Information
Language:English