The Web Science Trust

Class Association Structure Derived From Linked Objects

Qu, Yuzhong and Ge, Weiyi and Cheng, Gong and Gao, Zhiqiang (2009) Class Association Structure Derived From Linked Objects. In: Proceedings of the WebSci'09: Society On-Line, 18-20 March 2009, Athens, Greece.

[img] PDF (preprint) - Repository staff only - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
1284Kb
[img]
Preview
PDF (Final Version) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
694Kb
[img]
Preview
PDF (Presentation) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
278Kb

Abstract

The Web is being extended with more and more RDF data, especially the links between objects. Object links are critical to the semantic Web just as page links to the hypertext Web. Studying the macroscopic properties of object links can help people understand the semantic Web and build (semantic) Web applications in a better manner. To achieve this, we propose a notion of class association graph (CAG) based on the object links on the semantic Web, and report the results of analyzing the complex network characteristics of a CAG constructed from a real large data set collected by the Falcons search engine. The CAG observed has the scale-free nature and small-world characteristics. Then, vertex-importance graph synopsis approach is employed to depict a landscape of such class association structure.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:Object link, Class association graph, Complex network analysis
Subjects:Web Science Events > Web Science 2009
ID Code:159
Deposited By: W S T Administrator
Deposited On:24 Jan 2009 08:45
Last Modified:25 Oct 2011 16:51

Repository Staff Only: item control page

EPrints Logo
Web Science Repository is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.