...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>International journal of communication systems >Knowledge fusion based on the group argumentation theory in Web 2.0 environment
【24h】

Knowledge fusion based on the group argumentation theory in Web 2.0 environment

机译：Web 2.0环境下基于群体论证的知识融合

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

People can present their viewpoints on hot topics freely in the age of Web 2.0. But the different knowledge background and diverse perspectives of individuals lead to deficient description of things. Accordingly, how to integrate personal knowledge into collective knowledge in the environment of Web 2.0 and give a complete description of things is a burning question. Traditional knowledge fusion approaches cannot do well in structured representation of knowledge and quantitative calculation simultaneously and therefore cannot make knowledge fusion at an operational level. In this paper, we propose the knowledge element model to formalize the structured knowledge representation in Web 2.0 environment. On the basis of this, the cognition viewpoints of group members to something in Web 2.0 environment are abstracted into different knowledge element versions. Then, for the attributes on which members have divergences within all the knowledge element versions, the corresponding group argumentation tasks are designed. By utilizing the proposed consensus state model, whether or not the attributes belong to the knowledge element could be determined. And then, the attribute set of the knowledge element could be defined. Accordingly, knowledge fusion is achieved in the environment of Web 2.0. An experimental study demonstrates the viability and effectiveness of the proposed approach.
机译：在Web 2.0时代，人们可以自由地表达对热门话题的看法。但是个人的不同知识背景和不同观点导致对事物的描述不足。因此，如何在Web 2.0的环境中将个人知识整合到集体知识中并给出完整的描述，是一个亟待解决的问题。传统的知识融合方法不能同时在知识的结构化表示和定量计算方面做得很好，因此无法在操作级别进行知识融合。在本文中，我们提出了知识元素模型来规范Web 2.0环境中的结构化知识表示。在此基础上，将组成员对Web 2.0环境中某事物的认知观点抽象为不同的知识元素版本。然后，针对成员在所有知识元素版本中都有分歧的属性，设计相应的组论证任务。通过利用提出的共识状态模型，可以确定属性是否属于知识元素。然后，可以定义知识元素的属性集。因此，在Web 2.0的环境中实现了知识融合。实验研究证明了该方法的可行性和有效性。

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