A hybrid geo-semantic similarity measurement model introducing geographic entities
CHEN Yongpei1,2, DU Zhenhong1,2, LIU Renyi1,2, ZHANG Feng1,2, WANG Liangang1,2
1. Zhejiang Provincial Key Lab of GIS, Zhejiang University, Hangzhou 310028, China;
2. Department of Geographic Information Science, Zhejiang University, Hangzhou 310027, China
Abstract：Although some computational models for geo-semantic similarity measurement have been proposed in literature, these models overlook the effect of geospatial entities on similarity. This paper presents a geo-semantic similarity measurement approach that extends the existing approaches by computing geometric feature similarity of geospatial entities. This approach is based on comprehensive analysis of factors on ontology structure, properties of concept and geometric features similarity for geospatial entities. An assessment calculating the semantic similarity of the concept of land use types is carried out to verify the validity of this approach.
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2018, Vol. 45 
