Traditional geospatial data retrieval is data-driven and system-oriented, but which suffers from the problem that users are not provided with personalized results. In order to improve the quality of geospatial data retrieval, the idea of user-oriented geospatial data retrieval is introduced that is demand-driven. Consequently, the user-oriented geospatial data retrieval is divided into GRoED and GRoFD. Then, a user-oriented approach to the geospatial data retrieval is further proposed. For GRoED, after reordering the candidates by user profiles from the standard retrieval, personalized results that reflect the importance of the candidates for users are available accordingly. For GRoFD, the combination of retrieval conditions and user profiles are employed to express the user's information demands, and as a result personalized retrieval results are achieved.
展开▼
