Intent-based networking (IBN) facilitates the representation of consumer expectations in a declarative and domain-independent form. However, mapping intents to service and resource models remains an open challenge. IBN requires handling existing system data in a structured yet flexible structure way. Knowledge graphs provide an efficient conceptual framework for constructing contexts and organizing known information. We utilize knowledge graphs to construct a knowledge-based for modeling of intents in the networking domain. In addition, this work also proposes a knowledge-based intent modeling and processing methodology, extending the standardized intent common model proposed by TM Forum for next-generation cellular networks and services. The proposed knowledge-based IBN approach is demonstrated for next-generation cellular services, validating its potential.

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消费者期望。然而，将意图映射至服务与资源模型仍是一项开放性挑战。IBN需要以结构化且灵活的方式处理现有系统数据。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。我们利用知识图谱构建面向网络领域的意图建模知识基础。此外，本工作还提出了一种基于知识的意图建模与处理方法，扩展了TM Forum为下一代蜂窝网络及服务制定的标准化意图通用模型。该基于知识的IBN方法在下一代蜂窝服务中得到了验证，证实了其潜力。