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Compressing and Vague Querying (XCVQ) Design

Compressing and Vague Querying (XCVQ) Design
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Author(s): Badya Al-Hamadani (University of Huddersfield, UK)and Joan Lu (University of Huddersfield, UK)
Copyright: 2013
Pages: 23
Source title: Design, Performance, and Analysis of Innovative Information Retrieval
Source Author(s)/Editor(s): Zhongyu (Joan) Lu (University of Huddersfield, UK)
DOI: 10.4018/978-1-4666-1975-3.ch010

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Abstract

As shown in the literature review from the previous chapter, there are a good number of studies in the field of compressing XML documents and querying the compressed version without the need to fully decompress. However, vague queries, which are one of the most important query types, have been processed to retrieve information from raw XML documents and not from compressed ones. Depending on the SDM, the design of the complete system should be made, followed by its implementation which can be seen in Appendix B in chapter 12. This chapter illustrates the design architecture of the XCVQ (an XML Compressing and Vague Querying) which has the ability to compress the XML documents and use the compressed files in order to retrieve information according to vague queries. It starts with the main architecture of the system followed by the design of each of its parts, namely XCVQ’s compressor, decompressor, and the query processor.

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