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公开(公告)号:US20110179061A1
公开(公告)日:2011-07-21
申请号:US12818718
申请日:2010-06-18
申请人: Venkat Pradeep Chilakamarri , Nicholas Caldwell , Saliha Azzam , Yizheng Cai , Benjamin Edward Childs , Arun Chitrapu , Steven Dimmick , Michael Gamon , Bernhard SJ Kohlmeier , Shiun-Zu Kuo , Jonathan C. Ludwig , Kimberly Manis , Courtney Anne O'Keefe , Diego Perez Del Carpio , Tu Huy Phan , Kevin Powell , Jignesh Shah , Ashish Sharma , Paulus Willem ter Horst , Mukta Pramod Walvekar , Ye-Yi Wang
发明人: Venkat Pradeep Chilakamarri , Nicholas Caldwell , Saliha Azzam , Yizheng Cai , Benjamin Edward Childs , Arun Chitrapu , Steven Dimmick , Michael Gamon , Bernhard SJ Kohlmeier , Shiun-Zu Kuo , Jonathan C. Ludwig , Kimberly Manis , Courtney Anne O'Keefe , Diego Perez Del Carpio , Tu Huy Phan , Kevin Powell , Jignesh Shah , Ashish Sharma , Paulus Willem ter Horst , Mukta Pramod Walvekar , Ye-Yi Wang
IPC分类号: G06F17/30
CPC分类号: G06Q10/00
摘要: An analysis module, when triggered by a synchronization framework when a new data item is added to a project data store, runs a series of analysis feature extractors on the new content. An analysis may be conducted, and features of interest may be extracted from the data item. The analysis utilizes natural language processing, as well as other technologies, to provide an automatic or semi-automatic extraction of information. The extracted features of interest are saved as metadata within the project data store, and are associated with the data item from which it was extracted. The analysis module may be utilized to discover additional information that may be gleaned from content that is already in the project data store.
摘要翻译: 分析模块在将新数据项添加到项目数据存储时由同步框架触发时,在新内容上运行一系列分析功能提取器。 可以进行分析,并且可以从数据项中提取感兴趣的特征。 该分析利用自然语言处理以及其他技术来提供信息的自动或半自动提取。 提取的兴趣特征作为元数据保存在项目数据存储中,并与提取的数据项相关联。 可以使用分析模块来发现可能已经在项目数据存储中的内容收集的附加信息。
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公开(公告)号:US20110179049A1
公开(公告)日:2011-07-21
申请号:US12818667
申请日:2010-06-18
申请人: Nicholas Caldwell , Venkat Pradeep Chilakamarri , Saliha Azzam , Yizheng Cai , Michael Calcagno , Benjamin Edward Childs , Arun Chitrapu , Steven Dimmick , Michael Gamon , Bernhard SJ Kohlmeier , Shiun-Zu Kuo , Jonathan C. Ludwig , Kimberly Manis , Courtney Anne O'Keefe , Diego Perez Del Carpio , Tu Huy Phan , Kevin Powell , Jignesh Shah , Ashish Sharma , Paulus Willem ter Horst , Mukta Pramod Walvekar , Ye-Yi Wang
发明人: Nicholas Caldwell , Venkat Pradeep Chilakamarri , Saliha Azzam , Yizheng Cai , Michael Calcagno , Benjamin Edward Childs , Arun Chitrapu , Steven Dimmick , Michael Gamon , Bernhard SJ Kohlmeier , Shiun-Zu Kuo , Jonathan C. Ludwig , Kimberly Manis , Courtney Anne O'Keefe , Diego Perez Del Carpio , Tu Huy Phan , Kevin Powell , Jignesh Shah , Ashish Sharma , Paulus Willem ter Horst , Mukta Pramod Walvekar , Ye-Yi Wang
IPC分类号: G06F17/30
CPC分类号: G06Q10/00
摘要: Project-related data may be aggregated from various data sources, given context, and may be stored in a data repository or organizational knowledge base that may be available to and accessed by others. Documents, emails, contact information, calendar data, social networking data, and any other content that is related to a project may be brought together within a single user interface, irrespective of its data type. A user may organize and understand content, discover relevant information, and act on it without regard to where the information resides or how it was created.
摘要翻译: 项目相关数据可以从各种数据源(给定上下文)聚合,并且可以存储在数据存储库或组织知识库中,该数据存储库或组织知识库可被其他人可用和访问。 文档,电子邮件,联系信息,日历数据,社交网络数据以及与项目相关的任何其他内容可以在单个用户界面内汇集在一起,而不管其数据类型如何。 用户可以组织和理解内容,发现相关信息并对其进行操作,而不考虑信息所在的位置或其创建方式。
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公开(公告)号:US20070220036A1
公开(公告)日:2007-09-20
申请号:US11377997
申请日:2006-03-17
申请人: Nicholas Das , Jaydeep Singh , John Green , Keerti Rane , Krishnaswamy Babu , Raymond Arifianto , Srikanth Malladi , Suma SaganeGowda , Tanvir Rahman , Toji Oommen , Dale Phurrough , Nayab Khan , Pramod Walvekar
发明人: Nicholas Das , Jaydeep Singh , John Green , Keerti Rane , Krishnaswamy Babu , Raymond Arifianto , Srikanth Malladi , Suma SaganeGowda , Tanvir Rahman , Toji Oommen , Dale Phurrough , Nayab Khan , Pramod Walvekar
IPC分类号: G06F7/00
CPC分类号: G06Q10/00
摘要: In a support service for computing devices or software (or other service), a determination is made based on an incident report that additional data is needed. A first template is chosen from a set of templates and that chosen first template is customized for the particular incident to create a data collection plan. The data collection plan includes a set of data collection items. The data collection plan is forwarded to a user client device associated with the incident report. At the user client device, a user can choose to proceed with all or a subset of the data collection items. Data is then collected for the selected data collection items. The user is then provided with the opportunity to select which of the collected data to upload back to the support service. The collected data is then uploaded, and the incident status is updated and made available.
摘要翻译: 在计算设备或软件(或其他服务)的支持服务中,基于事件报告确定需要附加数据。 从一组模板中选择第一个模板,并为特定事件定制所选的第一个模板以创建数据收集计划。 数据收集计划包括一组数据收集项目。 将数据收集计划转发到与事件报告相关联的用户客户端设备。 在用户客户端设备处,用户可以选择继续进行数据收集项的全部或一部分。 然后收集所选数据收集项目的数据。 然后向用户提供选择哪些收集的数据上传回支持服务的机会。 然后上传收集的数据,并更新事件状态并提供事件。
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公开(公告)号:US20110179060A1
公开(公告)日:2011-07-21
申请号:US12818546
申请日:2010-06-18
申请人: Venkat Pradeep Chilakamarri , Nicholas Caldwell , Saliha Azzam , Benjamin Edward Childs , Arun Chitrapu , Steven Dimmick , Bernhard SJ Kohlmeier , Shiun-Zu Kuo , Jonathan C. Ludwig , Kimberly Manis , Courtney Anne O'Keefe , Diego Perez Del Carpio , Tu Huy Phan , Kevin Powell , Jignesh Shah , Ashish Sharma , Paulus Willem ter Horst , Mukta Pramod Walvekar
发明人: Venkat Pradeep Chilakamarri , Nicholas Caldwell , Saliha Azzam , Benjamin Edward Childs , Arun Chitrapu , Steven Dimmick , Bernhard SJ Kohlmeier , Shiun-Zu Kuo , Jonathan C. Ludwig , Kimberly Manis , Courtney Anne O'Keefe , Diego Perez Del Carpio , Tu Huy Phan , Kevin Powell , Jignesh Shah , Ashish Sharma , Paulus Willem ter Horst , Mukta Pramod Walvekar
IPC分类号: G06F17/30
CPC分类号: G06Q10/00
摘要: An automatic discovery of content to add to a data store for a project is disclosed. A data item may be parsed for data features that are contextually relevant to a given project or task. Discovered interesting data may be extracted and mapped to various search mechanisms. A search may be built and applied to various data sources to discover data items based on the contextually relevant data features. Search results from various search mechanisms may be displayed in a single user interface and may be presented to a user.
摘要翻译: 公开了自动发现要添加到项目的数据存储的内容。 可以针对与给定项目或任务上下文相关的数据特征来解析数据项。 可以提取发现的有趣数据并映射到各种搜索机制。 可以构建搜索并将其应用于各种数据源,以基于上下文相关的数据特征来发现数据项。 来自各种搜索机制的搜索结果可以显示在单个用户界面中并且可以被呈现给用户。
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