公开(公告)号：US20250139506A1

公开(公告)日：2025-05-01

申请号：US18515660

申请日：2023-11-21

Applicant: INSTITUTE FOR INFORMATION INDUSTRY

Inventor： Yu-Chuan YANG ,  Tai-Ta Kuo ,  Ping-I Chen

IPC: G06N20/00

Abstract: A training system and a training method for a domain-specific data model are provided. The training method includes configuring a computing device to perform the following processes: generating, by a training set generation module, a training data set based on a domain knowledge graph; updating the data model based on the training data set; generating, by the training set generation module, training input text corresponding to the domain knowledge graph; inputting the training input text into the data model to obtain training output text; evaluating and generating a score by an evaluation module based on a correlation between the training output text and the domain knowledge graph; and adjusting, by a reinforcement learning module, parameters of the data model according to the score and an optimization goal of the reward model until the score meets a training completion condition, taking the data model as the domain-specific data model.

公开(公告)号：US12014546B2

公开(公告)日：2024-06-18

申请号：US17456375

申请日：2021-11-23

Applicant: INSTITUTE FOR INFORMATION INDUSTRY

Inventor： Chu-Chun Huang ,  Yen-Heng Tsao ,  Ping-I Chen

IPC: G06V20/40 ,  G06F16/74 ,  G06F16/783 ,  G06F40/30 ,  G06V40/16 ,  G06V40/20

CPC classification number: G06V20/46 ,  G06F16/743 ,  G06F16/7844 ,  G06F40/30 ,  G06V40/164 ,  G06V40/176 ,  G06V40/20

Abstract: A multimodal method for detecting video includes following step of: receiving a message to be detected to obtain a multimodal association result, which message to be detected corresponds to a video to be detected; generating a plurality of detecting conditions according to multimodal association result; searching a plurality of videos in a video detection database to obtain a target video in videos according to detecting conditions, which each of videos includes a plurality of video paragraphs respectively, which each of video paragraphs includes a piece of multimodal related data respectively; comparing detecting conditions and piece of multimodal related data of video paragraphs to obtain a matching video paragraph and using video corresponding to matching video paragraph as the target video; and outputting the target video and the video to be detected to a display device for display.

公开(公告)号：US20230135866A1

公开(公告)日：2023-05-04

申请号：US17456375

申请日：2021-11-23

Applicant: INSTITUTE FOR INFORMATION INDUSTRY

Inventor： Chu-Chun Huang ,  Yen-Heng Tsao ,  Ping-I Chen

IPC: G06V20/40 ,  G06F16/783 ,  G06F16/74 ,  G06V40/16 ,  G06V40/20 ,  G06F40/30

Abstract: A multimodal method for detecting video includes following step of: receiving a message to be detected to obtain a multimodal association result, which message to be detected corresponds to a video to be detected; generating a plurality of detecting conditions according to multimodal association result; searching a plurality of videos in a video detection database to obtain a target video in videos according to detecting conditions, which each of videos includes a plurality of video paragraphs respectively, which each of video paragraphs includes a piece of multimodal related data respectively; comparing detecting conditions and piece of multimodal related data of video paragraphs to obtain a matching video paragraph and using video corresponding to matching video paragraph as the target video; and outputting the target video and the video to be detected to a display device for display.

公开(公告)号：US20150106374A1

公开(公告)日：2015-04-16

申请号：US14088534

申请日：2013-11-25

Applicant: Institute for Information Industry

Inventor： Meng-Jung Shih ,  Ping-I Chen ,  Tai-Chun Wang ,  Zon-Yin Shae

IPC: G06F17/30

CPC classification number: G06Q30/02

Abstract: A recommendation method includes providing an ontology database, in which the ontology database includes a plurality of entities, and the entities are arranged in an ontology hierarchy structure with N hierarchy levels; storing a plurality of jth level user data respectively corresponding to a plurality of users; generating a plurality of kth level user data according to the jth level user data respectively; clustering the kth level user data; and recommending the entities in the ontology database to the users according to a clustering result.

Abstract translation: 推荐方法包括提供本体数据库，其中本体数据库包括多个实体，并且实体被布置在具有N层级的本体层次结构中; 存储分别对应于多个用户的多个第j级用户数据; 根据第j级用户数据生成多个第k级用户数据; 对第k级用户数据进行聚类; 并根据聚类结果向用户推荐本体数据库中的实体。

公开(公告)号：US09659302B2

公开(公告)日：2017-05-23

申请号：US14088534

申请日：2013-11-25

Applicant: Institute for Information Industry

Inventor： Meng-Jung Shih ,  Ping-I Chen ,  Tai-Chun Wang ,  Zon-Yin Shae

IPC: G06F17/30 ,  G06Q30/02

CPC classification number: G06Q30/02

Abstract: A recommendation method includes providing an ontology database, in which the ontology database includes a plurality of entities, and the entities are arranged in an ontology hierarchy structure with N hierarchy levels; storing a plurality of jth level user data respectively corresponding to a plurality of users; generating a plurality of kth level user data according to the jth level user data respectively; clustering the kth level user data; and recommending the entities in the ontology database to the users according to a clustering result.

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：US11250035B2

公开(公告)日：2022-02-15

申请号：US16206844

申请日：2018-11-30

Applicant: Institute For Information Industry

Inventor： Hsin-Yi Kuo ,  You-Cyuan Yang ,  Wen-Fa Huang ,  Wen-Nan Wang ,  Ping-I Chen

IPC: G06F16/28 ,  G06N5/02 ,  G06F16/906 ,  G06F40/169 ,  G06F40/186 ,  G06F40/30 ,  G06F16/901

Abstract: A knowledge graph generating apparatus, method and non-transitory computer readable storage medium thereof are provided. The apparatus marks an entity-relationship of the template of goods information in the template of webpage according to the operating signal and generates an extraction rule set, wherein the template of webpage is one of multiple goods webpages and has a template format. The apparatus extracts a plurality of first product information of the first goods webpages according to the extraction rule set, wherein the first goods webpages have the template format and are selected from the goods webpages. The apparatus generates a classified goods information result through a product information classification model, wherein the product information classification model is generated based on the first product information and the entity-relationship of the template of goods information. The apparatus converts the classified goods information result into several semantic triples to generate a knowledge graph.

公开(公告)号：US20190139064A1

公开(公告)日：2019-05-09

申请号：US15831406

申请日：2017-12-05

Applicant: INSTITUTE FOR INFORMATION INDUSTRY

Inventor： Ping-I Chen ,  Tai-Ta Kuo ,  Yen-Heng Tsao ,  Fu-Jheng Jheng ,  Yu-Chuan Yang

IPC: G06Q30/02 ,  G06F17/30

Abstract: An inference system for data relation, method and system for generating marketing target groups are disclosed herein. The method includes the following operations: inputting a product name; determining a first group type of the product name from a specified data source according to the product name and finding a first interesting field and at least one first interesting data in the first interesting field corresponding to the first group type; establishing a customer persona model, wherein the customer persona model contains second group types, each of second group types has a second interesting field and at least one second interesting data in the second interesting field corresponding to the second group type; comparing the at least one second interesting data of the second group type of the customer persona model with the at least one first interesting data, and screening at least one marketing target group.

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.

公开(公告)号：US10459980B2

公开(公告)日：2019-10-29

申请号：US15133779

申请日：2016-04-20

Applicant: INSTITUTE FOR INFORMATION INDUSTRY

Inventor： Tai-Ta Kuo ,  Ping-I Chen

IPC: G06F16/9032 ,  G06F16/9535 ,  G06F16/901 ,  G06F16/34

Abstract: A display system for an issue comprises an input unit, a display unit and an processing unit. The input unit receives an initial keyword corresponding to an issue. The display unit displays at least a derivative issue generated from the issue during a time period according to time-based characteristics. The processing unit coupled to the input unit and the display unit obtains tags of subject contents of web pages, and obtains a present keywords group according to co-occurrence correlation of the tags. The processing unit analyzes the correlation between the present keywords calculated based on social voice, analyzing overlap rate for the present keywords compared with the initial keywords, and compares correlation between the present keywords with correlation between the initial keywords calculated based on social voice, in order to determine whether at least one of the derivative issue is generated.