DocumentCode
3727778
Title
An ontology matching method for GML application ontology to GeoSPARQL ontology
Author
Ruqiong Qiu; Hongwei Duan; Xiaomin Yu; LiNa Zheng; Qi Cheng
Author_Institution
National Engineering Research Center for Geographic Information System, China University of Geosciences (Wuhan), China
fYear
2015
fDate
6/1/2015 12:00:00 AM
Firstpage
1
Lastpage
5
Abstract
Because of the GML specification´s widely use, GML application semantic data provides massive, rich geographic semantic data for semantic web, standardized and consistent semantic query has become the key point of intelligent application for GML application semantic data. GeoSPARQL standard proposed by OGC can make consistent representation and query for heterogeneous, incompatible geographic semantic data, so it can be used as a base for consistency semantic query. This paper firstly uses ontology construction and ontology matching technology to map GML application ontology and GeoSPARQL ontology. Secondly, reasoning technology and semantic reasoning engine are used to realize a consistency semantic query experiment based on GeoSPARQL standard. The query experiment shows that this method is effective and feasible, and has a certain universal.
Keywords
"Ontologies","Surface treatment","Semantics","Standards","Geometry","Geology"
Publisher
ieee
Conference_Titel
Geoinformatics, 2015 23rd International Conference on
ISSN
2161-024X
Type
conf
DOI
10.1109/GEOINFORMATICS.2015.7378625
Filename
7378625
Link To Document