Abstract
Querying XML databases and their integration is an emerging area in applications related to database management systems. XML documents having similar data may differ in their organization. Hence a single query may not produce uniform results in all the documents. Different queries have to be generated for each of these hierarchies. To avoid this overhead, it is proposed to restructure and integrate different schemas by transforming all the XML schemas to a unique schema. We propose an algorithm to generate a unified query to extract results from this unique schema. Our work is demonstrated using an application of Primary Health Care (PHC) data maintenance system.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Zhang, S., Dyreson, C.: The Benefits of Utilizing Closeness in XML. In: 19th IEEE International Conference on Database and Expert Systems Application (2008)
Leonardi, E., Bhowmick, S., Ng, Z., Dyreson, C.: Towards Evaluation of Symmetric XPath Axis in Tree-Unaware RDBMS. Technical Report, International World Wide Web Conference Committee (IW3C2). Nanyang Technological University, Singapore (2008)
Zhang, S., Dyreson, C.: Polymorphic XML Restructuring. In: Proceedings of IIWeb, WWW Workshop, International World Wide Web Conference Committee, IW3C2 (2006)
Bonifati, A., Cuzzocrea, A.: Synopsis Data Structures for XML Databases: Models, Issues, and Research Perspectives. In: 18th IEEE International Workshop on Database and Expert Systems Applications (2007)
XML Database, http://exist-db.org/quickstart.html
XQuery Help, http://www.w3schools.com/xquery/xquery_flwor.asp
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kanchana, R., Rajagopal, A., Kaavya, S., Bakiyalakshmi, R. (2012). Integration of XML Databases by Schema Restructuring. In: Kannan, R., Andres, F. (eds) Data Engineering and Management. ICDEM 2010. Lecture Notes in Computer Science, vol 6411. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27872-3_8
Download citation
DOI: https://doi.org/10.1007/978-3-642-27872-3_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27871-6
Online ISBN: 978-3-642-27872-3
eBook Packages: Computer ScienceComputer Science (R0)