Storing GML documents: a model-mapping based approach

Authors:
Fubao Zhu;Qianqian Guo;Jinmei Yang
Affiliations:
School of Computer Science, Fudan University, Shanghai and School of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou, China;School of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou, China;School of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou, China
Venue:
DASFAA'11 Proceedings of the 16th international conference on Database systems for advanced applications
Year:
2011

Citing 6
Cited 0

XRel: a path-based approach to storage and retrieval of XML documents using relational databases

ACM Transactions on Internet Technology (TOIT)
Path materialization revisited: an efficient storage model for XML data

ADC '02 Proceedings of the 13th Australasian database conference - Volume 5
Analysis of different approaches for storing GML documents

Proceedings of the 10th ACM international symposium on Advances in geographic information systems
Efficient Relational Storage and Retrieval of XML Documents

Selected papers from the Third International Workshop WebDB 2000 on The World Wide Web and Databases
From XML Schema to Relations: A Cost-Based Approach to XML Storage

ICDE '02 Proceedings of the 18th International Conference on Data Engineering
Rewriting-Based Optimization for XQuery Transformational Queries

IDEAS '05 Proceedings of the 9th International Database Engineering & Application Symposium

Quantified Score

Hi-index	0.00

Visualization

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.