XLight, An Efficient Relational Schema to Store and Query XML Data

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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“…Xlight [11] is used to store all types of XML documents and is composed of five tables. Document, Path, Data, Ancestor, Attribute.…”

Section: Related Workmentioning

confidence: 99%

Indexing and Querying the Compressed XML Data (IQCX)

Senthilkumar

Suganya

Kiruthika

et al. 2011

Advances in Computing and Information Technology

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“…Thus memory space as well as time to execute the query gets reduced. Xlight [15] is used to store all types of XML documents and is composed of five tables. Document, Path, Data, Ancestor, Attribute.…”

Section: Related Workmentioning

confidence: 99%

Efficiently Querying the Indexed Compressed XML Data (IQX)

Senthilkumar¹,

Kannan²

2011

IJDMS

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“…The extensible Markup Language (XML) is quickly becoming the de facto standard for data exchange over the Internet [10] and now it plays a central role in data management, transformation, and exchange. Since its introduction to industry in the Late 1990s, XML [1] has achieved widespread support and adoption among all the leading software tools, server, and database vendor s. As importantly, XML has become the lingua franca for data by lowering the cost of processing, searching, exchanging, and re-using information.…”

Section: Introductionmentioning

confidence: 99%

XRecursive: AStorage Method for XML Document Based on Relational Database

Fakharaldien

Zain

Sulaiman

2011

Software Engineering and Computer Systems

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Abstract. Storing XML documents in a relational database is a promising solution because relational databases are mature and scale very well and they have the advantages that in a relational database XML data and structured data can coexist making it possible to build application that involve both kinds of data with little extra effort. In this paper, we propose an algorithm schema named XRecursive that translates XML documents to relational database according to the proposed storing structure. The steps and algorithm are given in details to describe how to use the storing structure to storage and query XML documents in relational database. Then we report our experimental results on a real database to show the performance of our method in some features.

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XLight, An Efficient Relational Schema to Store and Query XML Data

Cited by 16 publications

References 3 publications

Indexing and Querying the Compressed XML Data (IQCX)

Indexing and Querying the Compressed XML Data (IQCX)

Efficiently Querying the Indexed Compressed XML Data (IQX)

XRecursive: AStorage Method for XML Document Based on Relational Database

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