SUPER RELATIONAL APPROACH FOR EFFICIENT EXTENSIBLE MARKUP LANGUAGE (XML) QUERY PROCESSING

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dc.contributor.authorABDU, Sabitu
dc.date.accessioned2014-11-28T09:20:58Z
dc.date.available2014-11-28T09:20:58Z
dc.date.issued2014-07
dc.descriptionA THESIS SUBMITTED TO THE SCHOOL OF POSTGRADUATE STUDIES, AHMADU BELLO UNIVERSITY ZARIA, IN PARTIAL FULFILMENT OF THE REQUIREMENTS FOR THE AWARD OF A MASTER DEGREE IN COMPUTER SCIENCE DEPARTMENT OF MATHEMATICS, AHMADU BELLO UNIVERSITY, ZARIA NIGERIA.en_US
dc.description.abstractToday’s database is associated with interoperability between different domains and applications. This consequently, results in the importance of data portability in database. XML format fits the requirements and it has been increasingly used for serving applications across different domains and purposes. However, querying XML documents effectively and efficiently is still a challenging issue. Several researches have been conducted on XML query techniques of which many are inclined to Native Approach technique in which specialized storage and query processing systems are tailored for XML data from scratch to improve XML query processing. In this research we introduce Super Relational Approach (SRA) techniques in which XML document is automatically stored and queried using relational database with a view to fully utilize the superb capabilities of relational database since native databases are still in immaturity stage. In spite of the long time it takes SRA to shred XML document, the shredding has less impact on the query execution time saved by the technique. In this regard, the shredding is justifiable because once document is shredded it can be queried as many times as possible. The proposed technique (SRA) outperforms Native Approach in terms of speed, deletion, insertion and replacement by 24.23%. Hence, it is recommended for query processing in large XML documents with fixed structure.en_US
dc.identifier.urihttp://hdl.handle.net/123456789/5705
dc.language.isoenen_US
dc.subjectSUPER,en_US
dc.subjectRELATIONAL,en_US
dc.subjectEXTENSIBLE MARKUP LANGUAGE,en_US
dc.subjectQUERY,en_US
dc.subjectPROCESSING.en_US
dc.titleSUPER RELATIONAL APPROACH FOR EFFICIENT EXTENSIBLE MARKUP LANGUAGE (XML) QUERY PROCESSINGen_US
dc.typeThesisen_US
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