Semantic Relation Between Spatial Relation Terms and Feature Types of Geographical Entities

We propose a qualitative and quantitative approach to automatica construction of the semantic relation between spatial relation terms and feature types of geographical entities.Firstly,all spatial relations annotated in the Corpus are extracted as resource data,and then the “Overlap” similarity measure is used to define the relevance between spatial relation terms and geographical feature types.Secondly,the relevance is introduced as an original weight for the semantic distance computation of geographical concepts in the classification scheme of geographical feature types.Finally,a knowledge base is developed with protégé to formally represent and visualize the classification schemes,spatial relation terms and semantic relations with geographical feature types.This study indicates that our proposed approach can effectively obtain meaningful results.It is noted that the annotation quality of the corpus and the classification granularity of geographical entities have great effect on the performance.