Intent-based networking (IBN) facilitates the representation of consumer expectations in a declarative and domain-independent form. The deployment of intent in a network environment requires the extraction of the context from an intent expression, achieved via different levels of network and consumer information to be made available to network administrators. The network and service management domain requires organizing the available information as service and resource models in order to aid the intent propagation to available deployment controllers. Knowledge graphs provide an efficient conceptual framework for constructing contexts and organizing known information. This work proposes a knowledge organization methodology for intent processing and translation in IBN. The proposed knowledge model consists of an intent and associated extension models, and it builds on the TeleManagement forum's intent common model. Additionally, we introduce an IBN framework that leverages the specified knowledge graphs of the service model for intent interpretation, improvement, and implementation. The proposed knowledge-based IBN and service management is validated through a demonstration for both mission-critical and non-mission-critical services.

翻译：意图驱动网络（IBN）支持以声明式和领域无关的形式表达用户期望。将意图部署到网络环境中需要从意图表达中提取上下文信息，这需通过不同层次的网络与用户信息实现，以供网络管理员使用。网络与服务管理领域需要将现有信息组织为服务模型和资源模型，以帮助意图传播至可用的部署控制器。知识图谱为构建上下文和组织已知信息提供了高效的概念框架。本文提出了一种用于IBN中意图处理与翻译的知识组织方法论。所提出的知识模型由意图模型及相关的扩展模型构成，其基础是电信管理论坛的意图通用模型。此外，我们引入了一个IBN框架，该框架利用服务模型的指定知识图谱进行意图解释、改进与实施。所提出的基于知识的IBN及服务管理方法通过关键任务与非关键任务服务的演示进行了验证。