语义链接网络中动态社区的发现

Bei Xu, H. Zhuge
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引用次数: 0

摘要

语义链路网络(Semantic Link Network, SLN)由语义节点、语义节点之间的语义链接和推理规则组成。语言网络的语义社区不仅反映了语言网络紧密结合的结构,而且反映了语言网络中嵌入的语义的不同方面。传统的社区发现方法不适合发现语义社区。本文研究了一种根据语义推理闭包的语义重要性、语义节点的结构值和语义节点的推理次数对每个语义节点和语义链接进行评价,从而发现动态语义社区的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Discovery Dynamic Communities in Semantic Link Network
Semantic Link Network (SLN) consists of semantic nodes, semantic links between semantic nodes, and rules for reasoning. The semantic communities of SLN reflect not only the tightly knit structure but also different aspects of semantics embedded in SLN. Traditional community discovery approaches are not suitable for discovering semantic communities. This paper investigates an approach to discovering dynamic semantic communities by evaluating every semantic node and semantic link according to Semantic Reasoning Closure’s semantic importance, Semantic node’s structure value and Semantic node’s reasoning times.
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