Data value storage for compressed semi-structured data

Tripney, B. G. , Ross, I., Wilson, F. A. and Wilson, J. N. (2013) Data value storage for compressed semi-structured data. Lecture Notes in Computer Science, 8056, pp. 174-188. (doi: 10.1007/978-3-642-40173-2_16)

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Growing user expectations of anywhere, anytime access to information require new types of data representations to be considered. While semi-structured data is a common exchange format, its verbose nature makes files of this type too large to be transferred quickly, especially where only a small part of that data is required by the user. There is consequently a need to develop new models of data storage to support the sharing of small segments of semi-structured data since existing XML compressors require the transfer of the entire compressed structure as a single unit. This paper examines the potential for bisimilarity-based partitioning (i.e. the grouping of items with similar structural patterns) to be combined with dictionary compression methods to produce a data storage model that remains directly accessible for query processing whilst facilitating the sharing of individual data segments. Study of the effects of differing types of bisimilarity upon the storage of data values identified the use of both forwards and backwards bisimilarity as the most promising basis for a dictionary-compressed structure. A query strategy is detailed that takes advantage of the compressed structure to reduce the number of data segments that must be accessed (and therefore transferred) to answer a query. A method to remove redundancy within the data dictionaries is also described and shown to have a positive effect on memory usage.

Item Type:Articles
Additional Information:24th International Conference, DEXA 2013, Prague, Czech Republic, 26-29 August 2013.
Glasgow Author(s) Enlighten ID:Tripney, Dr Brian
Authors: Tripney, B. G., Ross, I., Wilson, F. A., and Wilson, J. N.
College/School:College of Science and Engineering > Scottish Universities Environmental Research Centre
Journal Name:Lecture Notes in Computer Science
Publisher:Springer Berlin Heidelberg

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