4 research outputs found
Intelligent management experience on efficient electric power system
Electric power system is one of the most critical
and strategic infrastructures of industrial societies. Nowadays, it
is necessary the modernization and automation of the electric
power grid to increase energy efficiency, reduce emissions, and
transit to renewable energy. Power utilities face the challenge of
using information and communication networks more effectively
to manage the demand, generation, transmission, and distribution
of their commodity services. Communication network
constitutes the core of the electric system automation
applications, the design of a cost-effective, and reliable network
architecture is crucial. To resolve this difficulty in this work we
study the integration of advanced artificial intelligence
technology into existing network management system. This
work focuses on an intelligent framework and a language for
formalizing knowledge management descriptions and combining
them with existing OSI management model. We have
normalized the knowledge management base necessary to
manage the current resources in the telecommunication
networks. Intelligent agents learn the normal behaviour of each
measurement variable and combine the intelligent knowledge for
the management of the network resources. We present an
analysis of corporate network management requirements and
technologies, together with our implementation experience with
the development of an integrated management system for a
company network
Ontology mapping: a logic-based approach with applications in selected domains
In advent of the Semantic Web and recent standardization efforts, Ontology has quickly become a popular and core semantic technology. Ontology is seen as a solution provider to knowledge based systems. It facilitates tasks such as knowledge sharing, reuse and intelligent processing by computer agents. A key problem addressed by Ontology is the semantic interoperability problem. Interoperability in general is a common problem in different domain applications and semantic interoperability is the hardest and an ongoing research problem. It is required for systems to exchange knowledge and having the meaning of the knowledge accurately and automatically interpreted by the receiving systems. The innovation is to allow knowledge to be consumed and used accurately in a way that is not foreseen by the original creator.
While Ontology promotes semantic interoperability across systems by unifying their knowledge bases through consensual understanding, common engineering and processing practices, it does not solve the semantic interoperability problem at the global level. As individuals are increasingly empowered with tools, ontologies will eventually be created more easily and rapidly at a near individual scale. Global semantic interoperability between heterogeneous ontologies created by small groups of individuals will then be required.
Ontology mapping is a mechanism for providing semantic bridges between ontologies. While ontology mapping promotes semantic interoperability across ontologies, it is seen as the solution provider to the global semantic interoperability problem. However, there is no single ontology mapping solution that caters for all problem scenarios. Different applications would require different mapping techniques.
In this thesis, we analyze the relations between ontology, semantic interoperability and ontology mapping, and promote an ontology-based semantic interoperability solution. We propose a novel ontology mapping approach namely, OntoMogic. It is based on first order logic and model theory. OntoMogic supports approximate mapping and produces structures (approximate entity correspondence) that represent alignment results between concepts. OntoMogic has been implemented as a coherent system and is applied in different application scenarios. We present case studies in the network configuration, security intrusion detection and IT governance & compliance management domain. The full process of ontology engineering to mapping has been demonstrated to promote ontology-based semantic interoperability
A Semantic Wiki-based Platform for IT Service Management
The book researches the use of a semantic wiki in the area of IT Service Management within the IT department of an SME. An emphasis of the book lies in the design and prototypical implementation of tools for the integration of ITSM-relevant information into the semantic wiki, as well as tools for interactions between the wiki and external programs. The result of the book is a platform for agile, semantic wiki-based ITSM for IT administration teams of SMEs
A Methodology for Formalizing GDMO Behavior Descriptions
Network management is a key technology for operating large heterogeneous data transmission networks. To allow deployment of equipment from different vendors, the OSI TMN (Telecommunications Management Network) framework defines the language GDMO (Guidelines for the Definition of Managed Objects). Unfortunately, the behavior of managed objects is defined in an informal manner using natural language. This results in behavior specifications which are often vague and ambiguous, increasing the possibility of different implementations not being interoperable. To achieve consistent, clear, concise, and unambiguous specifications, a formal methodology has to be utilized. This paper introduces a framework for the inclusion of formal behavior descriptions into GDMO specifications. An object-oriented logic programming language is presented, which can be used in conjunction with the framework to specify the behavior of managed objects. The language is aimed at automatically producing prototypes of..