Abstract
Geography Markup Language is a de facto standard developed by OGC to standardize the representation of geographical data in XML, which makes the exchanging and sharing of geographical information easier. With the popularity of GML technology, more and more geographical data is presented in GML format. This causes the problem of how to efficiently store GML data to facilitate its management and retrieval. An approach to store and query GML document based on model-mapping is proposed in this paper. The proposed approach mainly focus on non-schema GML documents, but it is also applicable to GML documents with corresponding schemas. A GML document is first parsed, and a document tree is generated. Then the tree nodes are analyzed and processed, and the schema mapping is established for storing GML documents into object-relational database with structural information preserved. Spatial data analysis and non-spatial data query are supported on database for document. Experiments show that the proposed approach is feasible and efficient.
This work was supported by the National Natural Science Foundation of China (No. 60873040), China 863 Program (No. 2009AA01Z135), Key Science and Technology Project of Education Department of Henan Province (No. 2010B520033), and Doctoral Research Fund of Zhengzhou University of Light Industry (No. 2008BSJJ012).
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References
Cox, S., Daisey, P., Lake, R., Portele, C., Whiteside, A.: Geography Markup Language (GML) Implementation Specification, OpenGIS Consortium, version 3.0 (2003)
Bohannon, P., Freire, J., Roy, P., Siméon, J.: From XML schema to relations: A cost-based approach to XML storage. In: Proceedings of ICDE, San Jose, California, USA, pp. 64–75 (2002)
Florescu, D., Kossmann, D.: A performance evaluation of alternative mapping schemes for storing xml data in a relational database. Technical Report, No. 3680, INRIA, France (1999)
Schmidt, A., Kersten, M.L., Windhouwer, M., Waas, F.: Efficient relational storage and retrieval of XML documents. In: Suciu, D., Vossen, G. (eds.) WebDB 2000. LNCS, vol. 1997, pp. 137–150. Springer, Heidelberg (2001)
Yoshikawa, M., Amagasa, T.: XRel: A path-based approach to storage and retrieval of XML documents using relational databases. ACM Transactions on Internet Technology 1(1), 110–141 (2001)
Jiang, H., Lu, H., Wang, W., Yu, J.X.: Path materialization revisited: An efficient storage model for XML data. In: Proc. of ADC, Melbourne, Victoria, Australia, pp. 85–94 (2002)
Córcoles, J.E., González, P.: Analysis of different approaches for storing GML documents. In: Proc. of ACM GIS, McLean, Virginia, USA, pp. 11–16 (2002)
Vatsavai, R.R.: GML-QL: A spatial query language specification for GML (2002), http://www.cobblestoneconcepts.com/ucgis2summer2002/vatsavai/vatsavai.htm
Krishnamurthy, R., Kaushik, R., Naughton, J.: XML-to-SQL query translation literature: The state of the art and open problems. In: Proc. of XML Database Symposium, Berlin, Germany, pp. 1–18 (2003)
Sun, H., Zhang, S., Zhou, J.: XQuery-to-SQL translating algorithm with little dependence on schema mapping between XML and RDB. In: Proc. of CSCWD 2004, Xiamen, China, vol. 1, pp. 526–531 (2004)
Grinev, M., Pleshachkov, M.: Rewriting-based optimization for XQuery transformational queries. In: Proc. of IDEAS 2005, pp. 163–174 (2005)
Long, W.X., Hu, C.: An Effective Storage Mode for GML Spatial. In: Proc. of Urban Geotechnical Investigation Surveying, pp. 31–35 (2009)
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Zhu, F., Guo, Q., Yang, J. (2011). Storing GML Documents: A Model-Mapping Based Approach. In: Xu, J., Yu, G., Zhou, S., Unland, R. (eds) Database Systems for Adanced Applications. DASFAA 2011. Lecture Notes in Computer Science, vol 6637. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20244-5_9
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