首页> 外文会议>International Conference on Cloud Computing, Data Science Engineering >Structuring OWL Documents to Enhance Trust for Big Data Analytical Tools to Promote Computational Intelligence in Semantic Web
【24h】

Structuring OWL Documents to Enhance Trust for Big Data Analytical Tools to Promote Computational Intelligence in Semantic Web

机译:构建猫头鹰文档以增强对大数据分析工具的信任,以促进语义网络中的计算智能

获取原文

摘要

The world that we have today is intelligent web that is a web that aims to show, present, and deliver intelligent information. The web contains a diversified amount of information in terms of veracity, velocity, and variance. This scenario demands for intelligent data mining agents that are able to retrieve information and derive patterns and relationships in this information. Contemporary research focuses on pattern discovery using analytical tools but does not provide for ways and means to successfully interpret the source and the authenticity of this information. Our paper thus focuses on embedding the trustable components inside semantic web so as to enable big data mining agents to successfully retrieve trustworthy information from the semantic web.
机译:我们今天所拥有的世界是智能网络,它是一个旨在显示,现在和提供智能信息的网络。 Web在准确性,速度和方差方面包含多样化的信息。这种情况对能够检索此信息中信息和导出模式和关系的智能数据挖掘代理的要求。当代研究侧重于使用分析工具的模式发现,但不提供成功解释这些信息的源和真实性的方式和手段。因此,我们的论文侧重于将可信组件嵌入在语义Web内,以便启用大数据挖掘代理商从语义Web成功检索值得信赖的信息。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号