Semantic Web Framework and Meta-Control Model to Enforce Context-Sensitive Policies
journal contribution
posted on 2005-01-01, 00:00authored byJinghai 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. 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 relies on one or more software 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, service discovery and access. This research has
been conducted in the context of myCampus, a pervasive computing environment
aimed at enhancing everyday campus life at Carnegie Mellon University
though the proposed framework extends to a number of other environments
(e.g. virtual enterprises, coalition forces, homeland security). Preliminary empirical
results appear rather promising.