公开(公告)号：US20160117345A1

公开(公告)日：2016-04-28

申请号：US14549697

申请日：2014-11-21

Applicant: INSTITUTE FOR INFORMATION INDUSTRY

Inventor： Chi-Hung Tsai ,  Ping-I Chen ,  Chun-Yen Chu ,  Shao-Hua Cheng

IPC: G06F17/30

CPC classification number: G06F17/30221 ,  G06F17/30589

Abstract: A service requirement analysis system includes a service provider database and an analysis server. The service provider database stores multiple service provider data entries, and is connected to a client device. The analysis server receives a service requirement string, and performs segmentation and filtering to obtain requirement keywords. The correlation values quantifying semantic relatedness between any two of the requirement keywords are calculated to construct a requirement keyword connected graph for dividing the requirement keywords into one or more requirement keyword groups associated with one or more concepts in the service requirement string. A semantic hierarchical structure of each of the requirement keyword groups is constructed for searching the service provider database to obtain service provider data entries matching the service requirement string. The matched entries are displayed on the client device.

Abstract translation: 服务需求分析系统包括服务提供商数据库和分析服务器。 服务提供商数据库存储多个服务提供商数据条目，并且连接到客户端设备。 分析服务器接收服务需求字符串，并执行分段和过滤以获得需求关键字。 计算量化任意两个需求关键词之间的语义相关性的相关值，以构建一个需求关键字连接图，将需求关键词分成与服务需求字符串中的一个或多个概念相关联的一个或多个需求关键字组。 构建每个需求关键字组的语义分层结构，用于搜索服务提供商数据库以获得与服务需求字符串匹配的服务提供商数据条目。 匹配的条目显示在客户端设备上。

公开(公告)号：US09652472B2

公开(公告)日：2017-05-16

申请号：US14549697

申请日：2014-11-21

Applicant: INSTITUTE FOR INFORMATION INDUSTRY

Inventor： Chi-Hung Tsai ,  Ping-I Chen ,  Chun-Yen Chu ,  Shao-Hua Cheng

IPC: G06F17/30

CPC classification number: G06F17/30221 ,  G06F17/30589

Abstract: A service requirement analysis system includes a service provider database and an analysis server. The service provider database stores multiple service provider data entries, and is connected to a client device. The analysis server receives a service requirement string, and performs segmentation and filtering to obtain requirement keywords. The correlation values quantifying semantic relatedness between any two of the requirement keywords are calculated to construct a requirement keyword connected graph for dividing the requirement keywords into one or more requirement keyword groups associated with one or more concepts in the service requirement string. A semantic hierarchical structure of each of the requirement keyword groups is constructed for searching the service provider database to obtain service provider data entries matching the service requirement string. The matched entries are displayed on the client device.