Abstract
The standard of data transfer and exchange between organizations through web information has become exceedingly popular, especially in electronic commerce. Data transferred and protocol through internet is in the form of XML. Even though XML tag can be beneficial, it can be spaced and time consuming as well and also influences the efficiency and the effectiveness of the system as a whole. In this paper, we report experimental results of our approach for retrieval large-scale XML collection, to improve efficiency of XML Retrieval. We propose new XML compression algorithm that allows supporting Absolute Document XPath Indexing (ADXPI) and Score Sharing function by a top down scheme approach which we call the extended XML compression of ADXPI (ecADXPI). It has been discovered that these steps reduce the size of the data down by 90.19% compare to GPX, and reduce the length of Score Sharing function processing time down by 37.12% when compared to before the compression. In addition, our system is able to support CAS queries that allow us to directly retrieval the path in the compressed data. Since the data volumes reduced, such compressing of data path may be even faster than the original data system.
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Acknowledgments
This work was supported by budget for overseas academic conference from the faculty of science, Kasetsart University and the graduate school Kasetsart University.
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Wichaiwong, T., Jaruskulchai, C. (2012). An Extended XML Compression Technique for XML Element Retrieval. In: Kim, K., Ahn, S. (eds) Proceedings of the International Conference on IT Convergence and Security 2011. Lecture Notes in Electrical Engineering, vol 120. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-2911-7_51
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DOI: https://doi.org/10.1007/978-94-007-2911-7_51
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