基于本体的认知无线电知识表示与推理

对知识进行有效建模是认知无线电（CR）引擎设计中关键问题之一。本文提出基于本体的认知无线电知识表示模型。首先对自然语言描述的CR知识进行概念抽取和类分析,并利用网络本体语言实现CR知识本体,最后对本体进行推理。实验结果表明,该方法支持知识的共享与重用,能够对异构的无线电知识进行融合,并实现了CR对自身状态和外界环境的理解,为参数重构提供决策依据。

Ontology-based knowledge representation and reasoning for cognitive radio

Effective knowledge modeling is one of the key issues in Cognitive Radio（CR）.This paper proposes an ontology-based model for CR knowledge representation.Concept extraction and class analysis is performed for CR knowledge described by natural language,and web ontology language is adopted to implement the ontology of CR knowledge.Then reasoning is conducted with the ontology.The experiment result shows that the proposed method supports knowledge sharing and reuse,can integrate heterogeneous radio knowledge,and enables CR to understand their own state and external environment,which provides the basis for CR reconfiguration in decision-making.