Topological relations in the world of minimum bounding rectangles: a study with R-trees
SIGMOD '95 Proceedings of the 1995 ACM SIGMOD international conference on Management of data
An adaptive query execution system for data integration
SIGMOD '99 Proceedings of the 1999 ACM SIGMOD international conference on Management of data
Reasoning about Binary Topological Relations
SSD '91 Proceedings of the Second International Symposium on Advances in Spatial Databases
Information Processing and Management: an International Journal
A reference framework for integrating multiple representations of geographical maps
GIS '03 Proceedings of the 11th ACM international symposium on Advances in geographic information systems
Query processing in a geographic mediation system
Proceedings of the 12th annual ACM international workshop on Geographic information systems
Spatial Reasoning with Incomplete Information on Relative Positioning
IEEE Transactions on Pattern Analysis and Machine Intelligence
Towards topological consistency and similarity of multiresolution geographical maps
Proceedings of the 13th annual ACM international workshop on Geographic information systems
Integration and Share of Spatial Data Based on Web Service
PDCAT '05 Proceedings of the Sixth International Conference on Parallel and Distributed Computing Applications and Technologies
Summarizing level-two topological relations in large spatial datasets
ACM Transactions on Database Systems (TODS)
Mining Topological Relations from the Web
DEXA '08 Proceedings of the 2008 19th International Conference on Database and Expert Systems Application
Query rewriting and answering under constraints in data integration systems
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
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Spatial database systems built on top of distributed and heterogeneous spatial information sources such as conventional spatial databases underlying Geographical Information Systems (GIS), spatial data files and spatial information acquired or inferred from the Web, suffer from data integration and topological consistency problems. These issues make the globally-integrated spatial database incomplete , so that effectively and efficiently answering range queries over such databases represents a leading challenge for spatial database systems research. Inspired by these motivations, in this paper we propose $\mathcal{I}$-SQE (Spatial Query Engine for $\mathcal{I}$ ncomplete information ), an innovative query engine for answering range queries over incomplete spatial databases via meaningfully integrating geometrical information and topological reasoning . $\mathcal{I}$-SQE finally allows us to enhance the quality and the expressive power of retrieved answers by meaningfully taking advantages from the amenity of representing spatial database objects via both the geometrical and the topological level.