关键词: 本体, 语义描述, 语义相似度, 谱聚类, 网络性能监测

Abstract: In order to improving the network quality of service by mining useful model from multi-source and complicated network performance data, a clustering analysis algorithm for network performance monitoring data based on ontology. The semantic description method of network performance monitoring data is described, then a similarity measurement model of network performance data based on semantic description and property data is proposed, and an NJW spectral clustering algorithm based on improved k-means algorithm is given. The experiments based on the UCI data sets and the performance monitoring data on a campus network shows that the proposed algorithm has a higher clustering accuracy and differentiation than the comparative algorithms.

Key words: ontology, semantic description, semantic similarity, spectral clustering, network performance monitoring