Abstract. Self-governing systems need a reliable set of semantics and a formal theoretic model in order to facilitate automated reasoning. We present an ontology-based knowledge representation that will use data from information models while preserving the semantics and the taxonomy of existing systems. This will facilitate the decomposition and validation of high level goals by autonomous, self-governing components. Our solution reuses principles and standards from the Semantic Web and the OMG to precisely describe the managed entities and the shared objectives that these entities are trying to achieve by autonomously correlating their behavior. We describe how we created UML2, MOF, OCL and QVT ontologies, and we give a case study using the NGOSS Shared Information and Data model. We also set the requirements for integrating existing information models and domain ontologies into a unique knowledge base.
Interoperability between management systems is significantly altered by an overload of data, along with syntactic and semantic dissonance of management information. New service-oriented architectures have been proposed to facilitate the decentralization of the control and to add more flexibility in the management process. However, a little was done towards the reuse of legacy information in nowadays modeling framework. In this paper, we demonstrate how existing information definition can be reused and integrated using semantic web technologies. Our objective is to enhance SNMP and WBEM solutions with semantic web services technologies, thus, allowing interoperability between heterogeneous systems and truly facilitating the design, the deployment and the maintenance of network management systems.
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