Next Article in Journal
Morphological Operations to Extract Urban Curbs in 3D MLS Point Clouds
Next Article in Special Issue
An Integrated Software Framework to Support Semantic Modeling and Reasoning of Spatiotemporal Change of Geographical Objects: A Use Case of Land Use and Land Cover Change Study
Previous Article in Journal
Towards Narrowing the Curation Gap—Theoretical Considerations and Lessons Learned from Decades of Practice
Open AccessArticle

Geospatial Information Categories Mapping in a Cross-lingual Environment: A Case Study of “Surface Water” Categories in Chinese and American Topographic Maps

by 1, 1,*, 1, 1, 2 and 1
1
School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China
2
Tianjin Institute of Surveying and Mapping, Tianjin 300381, China
*
Author to whom correspondence should be addressed.
Academic Editors: E. Lynn Usery, Dalia Varanka and Wolfgang Kainz
ISPRS Int. J. Geo-Inf. 2016, 5(6), 90; https://doi.org/10.3390/ijgi5060090
Received: 4 April 2016 / Revised: 23 May 2016 / Accepted: 6 June 2016 / Published: 14 June 2016
(This article belongs to the Special Issue Geospatial Semantics and Semantic Web)
The need for integrating geospatial information (GI) data from various heterogeneous sources has seen increased importance for geographic information system (GIS) interoperability. Using domain ontologies to clarify and integrate the semantics of data is considered as a crucial step for successful semantic integration in the GI domain. Nevertheless, mechanisms are still needed to facilitate semantic mapping between GI ontologies described in different natural languages. This research establishes a formal ontology model for cross-lingual geospatial information ontology mapping. By first extracting semantic primitives from a free-text definition of categories in two GI classification standards with different natural languages, an ontology-driven approach is used, and a formal ontology model is established to formally represent these semantic primitives into semantic statements, in which the spatial-related properties and relations are considered as crucial statements for the representation and identification of the semantics of the GI categories. Then, an algorithm is proposed to compare these semantic statements in a cross-lingual environment. We further design a similarity calculation algorithm based on the proposed formal ontology model to distance the semantic similarities and identify the mapping relationships between categories. In particular, we work with two GI classification standards for Chinese and American topographic maps. The experimental results demonstrate the feasibility and reliability of the proposed model for cross-lingual geospatial information ontology mapping. View Full-Text
Keywords: geographic information systems; semantic interoperability; cross-lingual; lightweight ontology; topographic map geographic information systems; semantic interoperability; cross-lingual; lightweight ontology; topographic map
Show Figures

Figure 1

MDPI and ACS Style

Kuai, X.; Li, L.; Luo, H.; Hang, S.; Zhang, Z.; Liu, Y. Geospatial Information Categories Mapping in a Cross-lingual Environment: A Case Study of “Surface Water” Categories in Chinese and American Topographic Maps. ISPRS Int. J. Geo-Inf. 2016, 5, 90.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map

1
Back to TopTop