Discovery Dynamic Communities in Semantic Link Network

Author

Xu, Bei ; Zhuge, Hai

Author_Institution

Inst. of Comput. Technol., Chinese Acad. of Sci., Beijing, China

fYear

2010

fDate

1-3 Nov. 2010

Firstpage

17

Lastpage

24

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/SKG.2010.82

Filename

5663590