Ontology-Based Policy Refinement Using SWRL Rules for Management Information Definitions in OWL

Abstract

Abstract. The goal of ontology-based management is to improve the manageability of network resources through the application of formal ontologies. Prior research work has studied their application to represent the management information definitions, the mapping and merging processes to obtain a semantic integration of those definitions, and the representation of behaviour and policy definitions. Using ontologies allows the additional advantage of integrating, in the same semantic manager, business and service level ontologies with the network management ontology, in a framework for automated management. This integration allows for policy refinement and interoperation between high level policies and low level policies.

Automated Translation of End User Policies for Usage Control Enforcement

“…Policy derivation for access control has been investigated based on resource hierarchies [11], goal decomposition [12], action decomposition [13], data classification [14], ontology [15], etc. In usage control, several enforcements exist at and across different layers of abstraction in various types of systems [2,3,5,[16][17][18].…”

An Adaptive Service Choreography approach based on Ontology-Driven Policy Refinement

“…OWL, the Web ontology Language, is proposed as a language for declaring the policies and more of information aspect of choreography. Currently, the OWL is enriched by SWRL [21], as a semantic rule language, to expressing the ontology not only in hierarchal of concepts but also in rule based relation among them.…”

“…We found that such approach requires at least two essential pre-requites. First a dynamic choreography model of services which is capable of altering its elements dynamically without designing the model by hand [21]. Second an approach to impact the policies on the structure and behaviour of choreography model.…”

Towards the use of policy decomposition for composite service management by non-expert end-users

“…Several policy languages exploit ontological semantics to arrange management concepts taxonomically, allowing abstract concepts (higher up) to be used in place of deeper, concrete concepts, so policies can be represented at different levels of abstractions [10], or as a policy-continuum [9], from high-level policies to low-level enforceable policies. The use of semantics for policy refinement is also described in [10] where higher level descriptions of management actions are modelled in an upper ontology and mapped (with the help of rules) to implementationspecific ontologies for management interfaces.…”

“…The use of semantics for policy refinement is also described in [10] where higher level descriptions of management actions are modelled in an upper ontology and mapped (with the help of rules) to implementationspecific ontologies for management interfaces. In some cases the ontologies are automatically derived from non-semantic management interfaces to interoperate between different types of interfaces [10,11].…”