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ENTERPRISE KNOWLEDGE GRAPH BUILDING WITH MINED TOPICS AND RELATIONSHIPS

机译:企业知识图形建设与开采主题和关系

摘要

Examples described herein generally relate to a computer system including a knowledge graph storing a plurality of entities. A mining of a set of enterprise source documents within an enterprise intranet is performed using singular value decomposition (SVD) to determine a plurality of entity names. Using SVD, relevant and trending entity names are accumulated, aggregated, and ranked. An entity record is generated within a knowledge graph for a mined entity name from the linked entity names based on an entity schema and ones of the set of enterprise source documents associated with the mined entity name. The entity record includes attributes aggregated from the ones of the set of enterprise source documents associated with the mined entity name.
机译:这里描述的示例一般涉及包括存储多个实体的知识图的计算机系统。 使用奇异值分解(SVD)来执行企业内联网中一组企业源文档的挖掘以确定多个实体名称。 使用SVD,相关和趋势实体名称累积,汇总和排名。 在基于与挖掘实体名称关联的企业源文档中的实体模式和一组企业源文档中的Cliped实体名称的知识图中,在知识图中生成实体记录。 实体记录包括从与挖掘实体名称关联的企业源文档中的集合聚合的属性。

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