Processing Spatial-Keyword (SK) Queries in Geographic Information Retrieval (GIR) Systems
SSDBM '07 Proceedings of the 19th International Conference on Scientific and Statistical Database Management
Query processing in spatial network databases
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
Keyword Search on Spatial Databases
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
Keyword Search in Spatial Databases: Towards Searching by Document
ICDE '09 Proceedings of the 2009 IEEE International Conference on Data Engineering
Top-k spatial keyword queries on road networks
Proceedings of the 15th International Conference on Extending Database Technology
Evaluation of Spatial Keyword Queries with Partial Result Support on Spatial Networks
MDM '13 Proceedings of the 2013 IEEE 14th International Conference on Mobile Data Management - Volume 01
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An increasing number of spatial keyword query techniques that return qualified objects based on a comprehensive consideration of spatial and keyword constraints have been presented in the literature. Due to the complexity of the solutions to spatial keyword queries, systems that can effectively demonstrate the mechanisms will attract interest from the spatial database research community. However, very limited visualization systems have been developed for illustrating spatial keyword query evaluation. In this demonstration, we present a system that visualizes advanced solutions to efficiently answer the Spatial Keyword k Nearest Neighbor (SKkNN) query. With the two-level data management method and the friendly user interface implemented by the Standard Widget Toolkit (SWT) and Open Graphics Library (OpenGL), our system is able to not only interact with users in diverse manners, visualize datasets, and display the SKkNN query evaluation process, but it also helps users better understand the solutions in a more intuitive way.