Efficient mobile reasoning for pervasive discovery

  • Authors:
  • Luke Steller;Shonali Krishnaswamy

  • Affiliations:
  • Monash University, Caulfield East, VIC, Australia;Monash University, Caulfield East, VIC, Australia

  • Venue:
  • Proceedings of the 2009 ACM symposium on Applied Computing
  • Year:
  • 2009

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Abstract

Semantic service discovery architectures that operate in mobile environments must cope with the significant challenges of finding relevant services rapidly, while facing constrained computational resources. This paper presents our m-Tableaux algorithm for enabling cost-efficient and optimised semantic reasoning to support semantic service matching, on the device itself. We present a performance evaluation of the m-Tableaux optimisation strategies which clearly demonstrate its operational feasibility on a mobile device. We also present comparative evaluations with other semantic reasoners and establish the improved performance of our engine.