A Semantic Expansion Model for VGI Retrieval

Sun, Xia, Li, Shen, Liu
2019 ISPRS International Journal of Geo-Information  
OpenStreetMap (OSM) is a representative volunteered geographic information (VGI) project. However, there have been difficulties in retrieving spatial information from OSM. Ontology is an effective knowledge organization and representation method that is often used to enrich the search capabilities of search systems. This paper constructed an OSM ontology model with semantic property items. A query expansion method is also proposed based on the similarity of properties of the ontology model.
more » ... ontology model. Moreover, a relevant experiment is conducted using OSM data related to China. The experimental results demonstrate that the recall and precision of the proposed method reach 80% and 87% for geographic information retrieval, respectively. This study provides a method that can be used as a reference for subsequent research on spatial information retrieval.
doi:10.3390/ijgi8120589 fatcat:jl35frjuhraqzfkcnjkuirrhty