CONTENT-BASED SPATIAL QUERY RETRIEVAL
Abstract
Information acquisition with the availability of modern information technology has become easier. We rely on various information systems in our daily lives. Geographical information system and spatial query retrieval become more and more important in vehicle navigation, robot automation, and satellite signal processing. Spatial query is made easy with the handheld technology like PDA and sketching device. However powerful query methodology needs powerful retrieval techniques to produce the desired output. Content based spatial query retrieval is one of the best resorts for spatial query retrieval. Structural spatial query retrieval is in content based retrieval family that is also an active research area in spatial databases. Structural spatial query retrieval assesses similarity by its structural arrangement, known as configuration similarity. This research developed an enhanced structural spatial query retrieval model for spatial databases.References
Blaser, A.D. (2000). Sketching Spatial Queries. Dissertation for the Degree of Doctor of Philosophy in Spatial Information Science and Engineering. University of Maine: Department of Spatial Information Science and Engineering.
Ballard, D.H. and Brown, C.M. (1984). Computer Vision. Eaglewood Cliffs: Prentice Hall.
Goyal, R. and Egenhofer, M.J. (2001). Similarity of Direction Relations. Seventh International Symposium on Spatial and Temporal Databases (Jensen, C., Schneider, M., Seeger, B., Tsotras, V.; eds.). LNCS 2121:36-55.
https://doi.org/10.1007/3-540-47724-1_3
Papadias, D. and Delis, V. (1997). Relation-based Similarity. In Proceedings of the 5th ACM-GIS, pp.1-4. ACM Press.
https://doi.org/10.1145/267825.267830
Papadias, D., Karacapilidis, N. and Arkoumanis, D. (1998a). Processing Fuzzy Spatial Queries: A Configuration Similarity Approach. International Journal of Geographic Information Science (IJGIS), 13(2): 93-128.
https://doi.org/10.1080/136588199241373
Papadias, D., Mamoulis, N. and Delis, V. (1998b). Algorithms for Querying by Spatial Structure. In Proceedings of the 24th VLDB Conference.
Papadias, D. and Sellis, T. (1993). The Semantics of Relations in 2D Space Using Representative Points: Spatial Indexes. In Proceedings of the European Conference on Spatial Information Theory (Frank, A. and Campri, I.; eds.). Springer Verlag.
https://doi.org/10.1007/3-540-57207-4_16
Papadias, D. and Sellis, T. (1994). On the Qualitative Representation of Spatial Knowledge in 2D Space. Very Large
https://doi.org/10.1007/BF01231605
Data Bases Journal Special Issue on SpatialDatabases, 3(4): 479-516.
Egenhofer, M.J. (1991). Reasoning about Binary Topological Relations. In Proceedings of Advances in Spatial Databases (Gunther, O. an Schek, H.J.; eds.).
https://doi.org/10.1007/3-540-54414-3_36
Egenhofer, M.J. (1994a). Pre-Processing Queries with Spatial Constraints. Photogrammetric Engineering and Remote Sensing, 60(6): 783-790.
Egenhofer, M.J. (1994b). Spatial SQL: A Query and Presentation Language. IEEE Transactions on Knowledge and Data Engineering, 6 (1): 86-95.
https://doi.org/10.1109/69.273029
Egenhofer, M.J. (1995). Modeling Conceptual Neighborhoods of Topological Line-Region Relations. International Journal of Geographical Information Systems, 9 (5): 555-565.
https://doi.org/10.1080/02693799508902056
Egenhofer, M.J. (1996). Spatial-Query-by-Sketch. In Proceedings of VLDB'96, pp. 60-67.
Egenhofer, M.J. (1997). Query Processing In Spatial Query By Sketch. Journal of Visual Languages and Computing, 8(4):403-424.
https://doi.org/10.1006/jvlc.1997.0054
Lau, B. T. and Wang, Y. C. (2005). An Improved Configuration Similarity Retrieval Model. In Sobh, Tarek
Elleithy, Khaled (Eds.) Advances in Systems, Computing Sciences and Software Engineering 2006 (Proceedings of IEEE SCSS2005). Springer-Verlag. ISBN 1-4020-5262-6. Bridgeport.
Lau, B. T. and Wang, Y. C. (2006). Single Measure Similarity for Spatial Data Retrieval System. In the Proceedings of IEEE ICACT2006, 20-22 February 2006, Seoul. ISBN: 89-8819-130-8. ISSN: 1738-9445.
Lau, B. T. (2006). Spatial Query Retrieval by Single Measure Structural Similarity. Dissertation for Doctorate of Philosophy in Information Technology. University of Malaysia Sarawak, Kota Samarahan.
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