Multi-granularity context model for dynamic Web service composition

  • Authors:
  • Wenjia Niu;Gang Li;Zhijun Zhao;Hui Tang;Zhongzhi Shi

  • Affiliations:
  • Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, PR China;School of Information Technology, Deakin University, 221 Burwood Highway, Vic. 3125, Australia;Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, PR China;Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, PR China;Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, PR China

  • Venue:
  • Journal of Network and Computer Applications
  • Year:
  • 2011

Quantified Score

Hi-index 0.00

Visualization

Abstract

In order to achieve more flexible and intelligent service composition, the context information should be fully utilized. Although many context-related approaches have been proposed to support the dynamic service composition, the context representation and management remains an open problem. In this paper, we propose a multi-granularity context model which effectively exploits the relationships among different context attributes, together with the corresponding multi-granularity context management approach to strengthen the flexibility and intelligence of dynamic service composition. The proposed multi-granularity context model makes it possible to achieve dynamic service composition through logical reasoning. A case study together with comparison analysis are presented to illustrate the validity of our approach.