Discovering Associations among Semantic Links

Author

Zhang, Junsheng ; Wang, Huilin ; Sun, Yunchuan

Author_Institution

IT Support Center, Inst. of Sci. & Tech. Inf. of China, Beijing, China

fYear

2009

fDate

7-8 Nov. 2009

Firstpage

204

Lastpage

208

Abstract

Semantic link network is a semantic data model to manage Web resources and semantic relations among them. Its nodes represent Web resources, and its semantic links between the nodes represent the semantic relations between the resources. This paper studies two kinds of associations between semantic link types (relationships): reasoning associations and statistical associations. We propose the approaches to calculating the two kinds of association degrees respectively. Besides, algorithms are developed to discover the statistical association rules. Association between semantic link types are useful in relational query in semantic link networks.

Keywords

Internet; data mining; data models; statistical analysis; Web resources; associations discovery; reasoning associations; semantic data model; semantic link network; semantic link types; semantic relations; statistical association rules; Association rules; Conference management; Data models; Economic forecasting; Information retrieval; Management information systems; Resource management; Search engines; Semantic Web; Sun; association; reasoning rule; relationship; semantic links;

fLanguage

English

Publisher

ieee

Conference_Titel

Web Information Systems and Mining, 2009. WISM 2009. International Conference on

Conference_Location

Shanghai

Print_ISBN

978-0-7695-3817-4

Type

conf

DOI

10.1109/WISM.2009.49

Filename

5369470