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首页> 外文会议>Information Networking: Advances in Data Communications and Wireless Networks; Lecture Notes in Computer Science; 3961 >Exploiting Domain Ontologies and Intelligent Agents: An Automated Network Management Support Paradigm
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Exploiting Domain Ontologies and Intelligent Agents: An Automated Network Management Support Paradigm

机译：利用域本体和智能代理：自动网络管理支持范例

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This paper presents a domain-ontology driven multi-agent based scheme for representing the knowledge of the communication Network Management System (NMS). The scope of this work is focussed on the performance analysis and fault detection functional areas which are of prime importance as far as the management of the communication network systems is considered. The proposed network knowledge model has been constructed in accordance with the CommonKADS methodology, to facilitate its reusability and shareability. In the proposed knowledge-intensive framework, the static domain-related concepts are articulated as the domain knowledge ontology. The empirical knowledge for managing the network is represented as the fault-state causal reasoning models, and it is explicitly encoded as the core knowledge of multi-agent middleware layer as heuristic production-type rules. This task-oriented experiential knowledge manipulates the domain content and structure during the diagnostic sessions. The inference chains during the agents' cooperative problem solving are supported by the Java-based networking routines in conjunction with the run-time log information. The proposed approach can be regarded as one of the pioneered steps towards representing the network knowledge via reusable domain ontology and intelligent agents for the automated network management support systems.
机译：本文提出了一种基于领域本体驱动的基于多代理的方案，用于表示通信网络管理系统（NMS）的知识。这项工作的范围集中在性能分析和故障检测功能领域，这些方面在考虑通信网络系统的管理方面至关重要。拟议的网络知识模型已根据CommonKADS方法构建，以促进其可重用性和可共享性。在提出的知识密集型框架中，将与静态领域相关的概念清楚地表述为领域知识本体。将管理网络的经验知识表示为故障状态因果推理模型，并将其明确编码为启发式生产类型规则，作为多主体中间件层的核心知识。这种面向任务的体验知识可以在诊断会话期间操纵域的内容和结构。基于Java的联网例程结合运行时日志信息来支持代理协作问题解决期间的推理链。所提出的方法可以看作是通过可重用的领域本体和用于智能网络管理支持系统的智能代理来表示网络知识的先驱步骤之一。

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