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Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.13/918786
- Querying semistructured data with compression in distributed environments
Alom, B. M. Monjurul;
- The University of Newcastle. Faculty of Engineering & Built Environment, School of Electrical Engineering and Computer Science
- As data management applications grow more complex, they are likely to need efficient distributed query processing. In Distributed Database Systems complete replication consists of maintaining complete copies of the database at each site; this has advantages such as highest locality of reference, highest reliability, availability, and is best for reading. The most promising and dominant data format for data processing and representing on the Internet is the semistructured data form termed XML. XML data has no fixed schema; it evolved and is self describing which results in management difficulties compared to, for example relational data. It is therefore a major challenge for the database community to design query languages and storage methods that can retrieve semistructured data. In this paper, we present a storing and querying scheme for semistructured data views of relational form in distributed environments. The proposed technique stores path dictionary, word dictionary, attribute dictionary, and the complete compressed replication of semistructured data in each distributed site of the DDBS. The presented technique provides query performance improvement due to the compression of semistructured data.
- 6th International Conference on Information Technology: New Generations, 2009 (ITNG '09). Proceedings of the 6th International Conference on Information Technology: New Generations 2009 (Las Vegas, NV 27-29 April, 2009) p. 1546-1553
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- Institute of Electrical and Electronics Engineers (IEEE)
- Resource Type
- conference paper
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