Middleware for semantic-based security and safety management of open services

  • Authors:
  • Stefan Poslad;Juan Jim Tan;Xuan Huang;Landong Zuo

  • Affiliations:
  • Department of Electronic Engineering, Queen Mary, University of London, Mile End Road, London E1 4NS, UK.;eBiz. Intelligence Group, Suite 1703, City Plaza, No. 21 Jalan Tebrau, 80300 Johor Bahru, Malaysia.;Department of Electronic Engineering, Queen Mary, University of London, Mile End Road, London E1 4NS, UK.;Department of Electronic Engineering, Queen Mary, University of London, Mile End Road, London E1 4NS, UK

  • Venue:
  • International Journal of Web and Grid Services
  • Year:
  • 2005
  • Review:

    The Knowledge Engineering Review

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Abstract

The trend towards ubiquitous public services is driving the deployment of large-scale, heterogeneous, distributed information services. In order to support automated information access and processing, this information is marked up using semantic metadata models represented using ontology languages such as OWL. The use of such a semantic metadata model is twofold: to enable content-based access and to provide services that enable users and applications to select, employ, compose and monitor web-based resources automatically. Deployment of a semantic model consists of the semantic metadata model itself and the semantic services to leverage the semantic metadata within application services. The main objective of this paper is to show how an existing semantic-based security management of open services framework has been extended to improve the safety of services using a semantic error management model. It has been applied to an application that queries multiple distributed environmental database resources.