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文章基本信息

  • 标题:Subject Features Discovery Method in Semantic Web
  • 本地全文:下载
  • 作者:Yuan Jia Le
  • 期刊名称:The Open Cybernetics & Systemics Journal
  • 电子版ISSN:1874-110X
  • 出版年度:2015
  • 卷号:9
  • 期号:1
  • 页码:1008-1013
  • DOI:10.2174/1874110X01509011008
  • 出版社:Bentham Science Publishers Ltd
  • 摘要:

    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.

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