Designing data structures for use in mobile devices requires attention on optimising data volumes with associated benefits for data transmission, storage space and battery use. For semi-structured data, tree summarisation techniques can be used to reduce the volume of structured elements while dictionary compression can efficiently deal with value-based predicates. This project seeks to investigate and evaluate an integration of the two approaches. The key strength of this technique is that both structural and value predicates could be resolved within one graph while further allowing for compression of the resulting data structure. As the current trend is towards the requirement for working with larger semi-structured data sets this work would allow for the utilisation of much larger data sets whilst reducing requirements on bandwidth and minimising the memory necessary both for the storage and querying of the data.
|Number of pages||9|
|Publication status||Published - 18 Jul 2006|
|Event||23rd British National Conference on Databases: PhD Forum - Belfast, UK|
Duration: 18 Jul 2006 → 20 Jul 2006
|Conference||23rd British National Conference on Databases: PhD Forum|
|Period||18/07/06 → 20/07/06|
- data structures
- mobile devices
- data systems
Gourlay, R. S., Liu, W. (Ed.), Bell, D. (Ed.), & Hong, J. (Ed.) (2006). Designing a resource-efficient data structure for mobile data systems. 19-28. Paper presented at 23rd British National Conference on Databases: PhD Forum, Belfast, UK, .