Daniel Bahrdt
ABSTRACT
We consider the problem of indexing the complete OpenStreetMap planet data set (> 500GB of raw data) to support complex queries involving both text search as well as context-aware spatial relations. This requires (a) formalization of spatial relations like 'north of', 'between', 'near' depending on the context, and (b) the development of suitable data representations to integrate textual and spatial information for efficient query performance.
- Alia I. Abdelmoty and Chris B. Jones. 1997. Towards Maintaining Consistency of Spatial Databases. In Proc. 6th Int. Conference on Information and Knowledge Management (CIKM '97). Google Scholar
Digital Library
- Daniel Bahrdt and Stefan Funke. 2015. OSCAR: OpenStreetMap Planet at Your Fingertips via OSm Cell ARrangements. In WISE (1) (LNCS), Vol. 9418. Springer. Google ScholarDigital Library
- Kevin Buchin, Vincent Kusters, Bettina Speckmann, Frank Staals, and Bogdan Vasilescu. 2011. A Splitting Line Model for Directional Relations. In Proc. 19th ACM SIGSPATIAL Int. Conf. on Advances in Geographic Information Systems. Google ScholarDigital Library
- L. P. Chew. 1987. Constrained Delaunay Triangulations. In Proc. 3rd Annual Symposium on Computational Geometry (SCG '87). Google ScholarDigital Library
- Roop Kishor Goyal. 2000. Similarity Assessment for Cardinal Directions Between Extended Spatial Objects. Ph.D. Dissertation. University of Maine. AAI9972143.Google Scholar
- Roop K. Goyal and Max J. Egenhofer. 2001. Similarity of Cardinal Directions. In Proc. 7th Int. Symp. on Advances in Spatial and Temporal Databases (SSTD '01). Google ScholarDigital Library
- Xi Guo, Baihua Zheng, Yoshiharu Ishikawa, and Yunjun Gao. 2011. Direction-based Surrounder Queries for Mobile Recommendations. The VLDB Journal 20, 5 (Oct. 2011). Google ScholarDigital Library
- A. Klippel, C. Dewey, M. Knauff, K.-F. Richter, D. R. Montello, C. Freksa, and E.-A. Loeliger. 2004. Direction Concepts in Wayfinding Assistance Systems. In Proc. Workshop on Artificial Intelligence in Mobile Systems (AIMS'04) (SFB 378).Google Scholar
- Pascal Matsakis and Laurent Wendling. 1999. A New Way to Represent the Relative Position Between Areal Objects. IEEE Trans. Pattern Anal. Mach. Intell. 21, 7 (July 1999). Google ScholarDigital Library
- Dimitris Papadias, Jun Zhang, Nikos Mamoulis, and Yufei Tao. 2003. Query Processing in Spatial Network Databases. In Proc. 29th Int. Conference on Very Large Data Bases - Vol.29 (VLDB '03). Google ScholarDigital Library
- D. J. Peuquet and Ci-Xiang Zhang. 1987. An Algorithm to Determine the Directional Relationship Between Arbitrarily-shaped Polygons in the Plane. Pattern Recogn. 20, 1 (Jan. 1987). Google ScholarDigital Library
- Stephen S.-T. Yau and Qing-Long Zhang. 2004. On Completeness of Reasoning about Planar Spatial Relationships in Pictorial Retrieval Systems. Commun. Inf. Syst. 4, 3 (2004).Google Scholar
Index Terms
- Searching OSM Planet with Context-Aware Spatial Relations
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