Discovery Dynamic Communities in Semantic Link Network

Abstract

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.