The Open Cybernetics & Systemics Journal

2015, 9 : 1008-1013
Published online 2015 August 31. DOI: 10.2174/1874110X01509011008
Publisher ID: TOCSJ-9-1008

Subject Features Discovery Method in Semantic Web

Yuan Jia Le
School of mathematics and Computer Engineering, Xi'an University, Xi'an city 710065, P.R. China.

ABSTRACT

We have studied Subject Features Discovery methods for discovering resources in Web, but very few handle Web that alters structure. The CMSW (Classification Method for Semantic Web) is the methods that test resources in semantic Web. To make CMSW more result for the Web that are altering their structure, the method DCMSW (CMSW) is proposed which enhances CMSW to renew part structure in little time than running CMSW on the Web. We also enhance CMSW by adjusting settings. DCMSW, worked on network, executes more efficiently than CMSW from one stage to other stage. We have projected a method to optimize process for verifying resources in Semantic Web, which completes efficiently in efficiency and structuring.

Keywords:

Classification method, optimization methods, semantic web, subject features.