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A Semantic Web Framework for Interleaving Policy Reasoning and External Service Discovery
Any type of content formally published in an academic journal, usually following a peer-review process.
posted on 01.01.2005by Jinghai Rao, Norman Sadeh
Enforcing rich policies in open environments will increasingly require
the ability to dynamically identify external sources of information necessary to
enforce different policies (e.g. finding an appropriate source of location information
to enforce a location-sensitive access control policy). In this paper, we introduce
a semantic web framework and a meta-control model for dynamically interleaving
policy reasoning and external service discovery and access. Within this
framework, external sources of information are wrapped as web services with
rich semantic profiles allowing for the dynamic discovery and comparison of
relevant sources of information. Each entity (e.g. user, sensor, application, or organization)
relies on one or more Policy Enforcing Agents responsible for enforcing
relevant privacy and security policies in response to incoming requests.
These agents implement meta-control strategies to dynamically interleave semantic
web reasoning and service discovery and access. The paper also presents
preliminary empirical results. This research has been conducted in the context of
myCampus, a pervasive computing environment aimed at enhancing everyday
campus life at Carnegie Mellon University.