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1. 发明授权

US09507866B2 Geographical location rendering system and method and computer readable recording medium 有权
标题翻译：地理位置呈现系统和方法以及计算机可读记录介质
公开(公告)号：US09507866B2
公开(公告)日：2016-11-29
申请号：US13604278
申请日：2012-09-05
申请人： Wen Tsui , Tai-Ting Wu , Shin-Yi Wu , Yu-Hsiang Hsiao
发明人： Wen Tsui , Tai-Ting Wu , Shin-Yi Wu , Yu-Hsiang Hsiao
IPC分类号： G06N5/02 , G06F17/30
CPC分类号： G06F17/3087 , G06N5/02
摘要： A geographical location rendering method executed in a geographical location rendering system for identifying at least one semantic region is provided. A density clustering is performed on a plurality of user generated contents of respective geographical location name information to generate a plurality of region candidates. A name extraction is performed on the region candidates to extract and confirm a common region name of the region candidates as a name of the semantic region. A region scope of the region candidates is detected as a location scope of the semantic region according to a spatial density analysis.
摘要翻译：提供了一种在用于识别至少一个语义区域的地理位置呈现系统中执行的地理位置呈现方法。对多个用户生成的各个地理位置名称信息的内容执行密度聚类，以生成多个区域候选。对区域候选进行名称提取，提取并确认区域候补的公共区域名称作为语义区域的名称。根据空间密度分析，区域候选的区域范围被检测为语义区域的位置范围。

2. 外观设计

USD370405S Caster base for a baggage 失效
公开(公告)号：USD370405S
公开(公告)日：1996-06-04
申请号：US38581
申请日：1995-05-08
申请人： Tai-Ting Wu
设计人： Tai-Ting Wu

3. 发明申请

US20130156324A1 GEOGRAPHICAL LOCATION RENDERING SYSTEM AND METHOD AND COMPUTER READABLE RECORDING MEDIUM 有权
标题翻译：地理位置渲染系统和方法与计算机可读记录介质
公开(公告)号：US20130156324A1
公开(公告)日：2013-06-20
申请号：US13604278
申请日：2012-09-05
申请人： Wen Tsui , Tai-Ting Wu , Shin-Yi Wu , Yu-Hsiang Hsiao
发明人： Wen Tsui , Tai-Ting Wu , Shin-Yi Wu , Yu-Hsiang Hsiao
IPC分类号： G06K9/46
CPC分类号： G06F17/3087 , G06N5/02
摘要： A geographical location rendering method executed in a geographical location rendering system for identifying at least one semantic region is provided. A density clustering is performed on a plurality of user generated contents of respective geographical location name information to generate a plurality of region candidates. A name extraction is performed on the region candidates to extract and confirm a common region name of the region candidates as a name of the semantic region. A region scope of the region candidates is detected as a location scope of the semantic region according to a spatial density analysis.
摘要翻译：提供了一种在用于识别至少一个语义区域的地理位置呈现系统中执行的地理位置呈现方法。对多个用户生成的各个地理位置名称信息的内容执行密度聚类，以产生多个区域候选。对区域候选进行名称提取，提取并确认区域候补的公共区域名称作为语义区域的名称。根据空间密度分析，区域候选的区域范围被检测为语义区域的位置范围。

4. 发明申请

US20110099133A1 Systems and methods for capturing and managing collective social intelligence information 审中-公开
标题翻译：收集和管理集体社会情报信息的系统和方法
公开(公告)号：US20110099133A1
公开(公告)日：2011-04-28
申请号：US12801779
申请日：2010-06-24
申请人： Chu-Fei Chang , Tai-Ting Wu , Chun-Wei Lin , Chia-Hao Lo , Tao-Yang Fu
发明人： Chu-Fei Chang , Tai-Ting Wu , Chun-Wei Lin , Chia-Hao Lo , Tao-Yang Fu
IPC分类号： G06F15/18 , G06N5/02
CPC分类号： G06N20/00 , G06F16/353
摘要： A method for capturing and managing training data collected online includes: receiving a first dataset from one or more online sources; sampling the first dataset and generating a second dataset, the second dataset including the data sampled from the first dataset; receiving an annotated second dataset with predefined labels; and dividing the annotated second dataset into a training dataset and a test dataset. The disclosed method further includes: configuring a machine learning based classifier based on the training dataset; predicting at least one data point based on the training dataset and calculating a confidence score; comparing the at least one predicted data point to the test dataset; sorting the at least one predicted data point based on its confidence score; and receiving corrected training data associated with the at least one predicted data point.
摘要翻译：用于捕获和管理在线收集的训练数据的方法包括：从一个或多个在线来源接收第一数据集; 对第一数据集进行采样并生成第二数据集，第二数据集包括从第一数据集采样的数据; 接收带有预定义标签的带注释的第二个数据集; 并将注释的第二个数据集划分为训练数据集和测试数据集。所公开的方法还包括：基于训练数据集配置基于机器学习的分类器; 基于训练数据集预测至少一个数据点并计算置信度分数; 将所述至少一个预测数据点与所述测试数据集进行比较; 基于其置信度得分对所述至少一个预测数据点进行排序; 以及接收与所述至少一个预测数据点相关联的校正训练数据。

5. 发明申请

US20110112995A1 Systems and methods for organizing collective social intelligence information using an organic object data model 审中-公开
标题翻译：使用有机对象数据模型组织集体社会情报信息的系统和方法
公开(公告)号：US20110112995A1
公开(公告)日：2011-05-12
申请号：US12801777
申请日：2010-06-24
申请人： Chu-Fei Chang , Tai-Ting Wu , Chun-Wei Lin , Chia-Hao Lo , Tao-Yang Fu
发明人： Chu-Fei Chang , Tai-Ting Wu , Chun-Wei Lin , Chia-Hao Lo , Tao-Yang Fu
IPC分类号： G06N5/02 , G06F15/18
CPC分类号： G06N20/00 , G06F16/353
摘要： A method for capturing and organizing intelligence data using an organic data model includes: receiving one or more webpages containing social intelligence data; segmenting content of the one or more webpages containing social intelligence data; identifying named entities in the segmented content of the one or more webpages; identifying topics in the segmented content of the one or more webpages; identifying opinions in the segmented content of the one or more webpages; integrating the identified named entities, topics, and opinions to construct an organic object data model; and storing organic object data associated with the constructed organic object data model in an organic object database.
摘要翻译：使用有机数据模型捕获和组织智能数据的方法包括：接收一个或多个包含社会智能数据的网页; 分割包含社交情报数据的一个或多个网页的内容; 识别一个或多个网页的分段内容中的命名实体; 识别一个或多个网页的分段内容中的主题; 识别一个或多个网页的分段内容中的意见; 整合识别的命名实体，主题和意见，构建有机对象数据模型; 以及将与所构建的有机对象数据模型相关联的有机对象数据存储在有机对象数据库中。

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