Abstract
Extensible Markup Language was designed to carry data which provides a platform to define own tags. XML documents are immense in nature. As a result there has been an ever growing need for developing an efficient storage structure and high-performance techniques to query efficiently. Though several storage structures are available, QUICX (Query and Update Support for Indexed and Compressed XML) compact storage structure proved to be efficient in terms of data storage. The major reason for performance loss in query processing is identified to be the storage structure used as well as the lack of efficient query processing techniques. The approach (IQCX) focuses on indexing and querying the compressed data stored in QUICX, thereby increasing the compression ratio. Proposed indexing technique exploits the high degree of redundancy exhibited by the XML documents. Thus indexing enhances the query performance, compared to querying without indexing.
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References
Oz̈gür, A., Gündem, T.İ.: Efficient indexing technique for XML-based electronic product catalogs. Electronic Commerce Research and Applications 5, 66–77 (2006)
Cheng, J., Ng, W.: XQzip: Querying compressed XML using structural indexing. In: Proceedings of the International Conference on Extending Database Technologies, Heraklion, Greece, pp. 219–236 (2004)
Leighton, G., Müldner, T., Diamond, J.: TREECHOP: A Tree-based Query-able Compressor For XML. In: Proceedings of the Ninth Canadian Workshop on Information Theory (CWIT 2005), pp. 115–118 (2005)
Jin, L., Koudas, N., Li, C., Tung, A.K.H.: Indexing Mixed types for appropriate retrieval. In: Proceedings of the 31st VLDB Conference, Norway (2007)
Brantner, M., Helmer, S., Kanne, C.-C., Moerkotte, G.: Kappa-join: Efficient Execution of Existential Quantification in XML Query Languages
Li, M., Mani, M., Rundensteiner, E.A.: Efficiently loading and processing XML streams. In: Proceedings of the 2008 International Symposium on Database Engineering & Applications (2008)
Monjurul Alom, B.M., Henskens, F., Hannaford, M.: DRXQP: A Dynamic Relational XML Query Processor. In: Seventh International Conference on Information Technology (2010)
Senthikumar, R., Priyaa Varshinee, S., Manipriya, S., Gowrishankar, M., Kannan, A.: Query Optimization of RFX Compact Storage using Strategy List. In: ADCOM 2008 (2008)
Senthilkumar, R., Kannan, A.: Query and Update support for Indexed and Compressed XML (QUICX), under publication in Springer lecturer notes
Müldner, T., Fry, C., Miziołek, J.K., Durno, S.: XSAQCT: XML Queryable Compressor. Presented at Balisage: ThE Markup Conference 2009, Montréal, Canada (August 11-14, 2009); In: Proceedings of Balisage: The Markup Conference 2009. Balisage Series on Markup Technologies, vol. 3 (2009)
Zafari, H., Hasani, K., Shiri, M.E.: XLight, An Efficient Relational Schema to Store and Query XML Data. In: Data Storage and Data Engineering, DSDE (2010)
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Senthilkumar, R., Suganya, N., Kiruthika, I., Kannan, A. (2011). Indexing and Querying the Compressed XML Data (IQCX). In: Wyld, D.C., Wozniak, M., Chaki, N., Meghanathan, N., Nagamalai, D. (eds) Advances in Computing and Information Technology. ACITY 2011. Communications in Computer and Information Science, vol 198. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22555-0_51
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DOI: https://doi.org/10.1007/978-3-642-22555-0_51
Publisher Name: Springer, Berlin, Heidelberg
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