Abstract
XML is used to store and exchange data not only in the web and has advantages like self-describing content. Sensor nodes have limited hardware resources such that processing verbose data formats like XML is hard or even impossible if no intelligent techniques are used. This paper proposes such an intelligent technique for compression of XML data and query reformulation with the goal of eliminating superfluous computations already at compile time for programs with embedded XML data and queries. An experimental analysis shows the superior performance of the proposed approach when applied in sensor networks as well as on typical PC hardware.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 28th Annual ACM Symposium on Applied Computing |
| Number of pages | 6 |
| Place of Publication | New York, NY, USA |
| Publisher | ACM |
| Publication date | 18.03.2013 |
| Pages | 542-547 |
| ISBN (Print) | 978-1-4503-1656-9 |
| DOIs | |
| Publication status | Published - 18.03.2013 |
| Event | 28th Annual ACM Symposium on Applied Computing - Coimbra, Portugal Duration: 18.03.2013 → 22.03.2013 Conference number: 96995 |
Research Areas and Centers
- Research Area: Intelligent Systems
- Centers: Center for Artificial Intelligence Luebeck (ZKIL)
DFG Research Classification Scheme
- 4.43-03 Security and Dependability, Operating, Communication and Distributed Systems
