首页> 外国专利> Generating a conceptual association graph from large-scale loosely-grouped content

Generating a conceptual association graph from large-scale loosely-grouped content

机译:从大规模的松散分组内容生成概念关联图

摘要

A method for generating a conceptual association graph from structured content includes grouping content nodes into one or more topically biased clusters, the content nodes comprising structured digital content and unstructured digital content, the grouping based at least in part on the connectedness of each content node member to other content node members in the same cluster. The method also includes, responsive to the grouping, tagging the content nodes with one or more descriptive concepts. The method also includes, responsive to the tagging, establishing one or more associations between the one or more concepts, the one or more associations indicating a relevance of the one or more associations, the indicating based at least in part on patterns of co-occurrence of concepts in the tagged content nodes.
机译:一种用于从结构化内容生成概念关联图的方法,包括将内容节点分组为一个或多个局部偏置的群集,内容节点包括结构化数字内容和非结构化数字内容,该分组至少部分地基于每个内容节点成员的连接性到同一集群中的其他内容节点成员。该方法还包括响应于分组,用一个或多个描述性概念标记内容节点。该方法还包括:响应于标记,在一个或多个概念之间建立一个或多个关联,该一个或多个关联指示一个或多个关联的相关性,该指示至少部分地基于共现模式标记的内容节点中的概念集。

著录项

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

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