公开(公告)号：US09922116B2

公开(公告)日：2018-03-20

申请号：US14529467

申请日：2014-10-31

Applicant: Cisco Technology, Inc.

Inventor： Mark Ammar Rayes ,  Hector Guillermo Trevino ,  Carlos M. Pignataro

IPC: G06F17/30

CPC classification number: G06F17/30663 ,  G06F17/30705 ,  G06F17/30864

Abstract: Techniques are presented herein to monitor a plurality of big data sources in order to dynamically identify keywords. The big data sources are analyzed to classify the keywords as related to either a technical problem or to a solution to the technical problem. In addition, data associated with the keywords is weighted based on one or more attributes of the data and stored in a database in a problem-solution format.

公开(公告)号：US20160124957A1

公开(公告)日：2016-05-05

申请号：US14529467

申请日：2014-10-31

Applicant: Cisco Technology, Inc.

Inventor： Mark Ammar Rayes ,  Hector Guillermo Trevino ,  Carlos M. Pignataro

IPC: G06F17/30

CPC classification number: G06F17/30663 ,  G06F17/30705 ,  G06F17/30864

Abstract: Techniques are presented herein to monitor a plurality of big data sources in order to dynamically identify keywords. The big data sources are analyzed to classify the keywords as related to either a technical problem or to a solution to the technical problem. In addition, data associated with the keywords is weighted based on one or more attributes of the data and stored in a database in a problem-solution format.

Abstract translation: 这里呈现技术来监视多个大数据源以便动态地识别关键字。 分析大数据源，将关键字分类为技术问题或技术问题的解决方案。 此外，与关键字相关联的数据基于数据的一个或多个属性加权，并以问题解决方案格式存储在数据库中。