Title :
Discovery Dynamic Communities in Semantic Link Network
Author :
Xu, Bei ; Zhuge, Hai
Author_Institution :
Inst. of Comput. Technol., Chinese Acad. of Sci., Beijing, China
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.
Keywords :
inference mechanisms; community discovery; discovering semantic communities; discovery dynamic communities; dynamic semantic communities; reasoning rules; reasoning times; semantic importance; semantic link network; semantic nodes; semantic reasoning closure; structure value; tightly knit structure; Semantic Link Network; community evolvement; semantic community discovery; semantic importance;
Conference_Titel :
Semantics Knowledge and Grid (SKG), 2010 Sixth International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-8125-5
Electronic_ISBN :
978-0-7695-4189-1
DOI :
10.1109/SKG.2010.82
