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21. 发明授权

US06636238B1 System and method for linking an audio stream with accompanying text material 有权
标题翻译：将音频流与伴随的文本材料相链接的系统和方法
公开(公告)号：US06636238B1
公开(公告)日：2003-10-21
申请号：US09295076
申请日：1999-04-20
申请人： Arnon Amir , Carlton Wayne Niblack , Norman Jerome Pass , Dragutin Petkovic , Dulce Beatriz Ponceleon , Savitha Srinivasan , Tanveer Fathima Syeda-Mahood
发明人： Arnon Amir , Carlton Wayne Niblack , Norman Jerome Pass , Dragutin Petkovic , Dulce Beatriz Ponceleon , Savitha Srinivasan , Tanveer Fathima Syeda-Mahood
IPC分类号： G06F1721
CPC分类号： G06F17/3074 , G06F17/30023 , G06F17/30064 , G06F17/30746
摘要： A system enables a user to query for key words and phrases a text document, such as a presentation slide file, and an associated audio stream, such as can be derived from an audio-video recording that is made of a presenter contemporaneously with the showing of the slides to an audience. A graphical user interface is presented in which query results for both the text document and the audio stream are displayed in a time-aligned format, to enable a user to easily and conveniently browse the text document and accompanying time-aligned audio stream based on the key words/phrases.
摘要翻译：系统使得用户能够查询关键词和短语，诸如呈现幻灯片文件和相关联的音频流之类的文本文档，例如可以从由演示者同时显示的音频 - 视频记录导出的幻灯片到观众。呈现图形用户界面，其中以时间对齐的格式显示文本文档和音频流的查询结果，以使得用户能够容易地和方便地浏览文本文档和伴随的时间对齐的音频流，基于关键词/短语

22. 发明授权

US08140362B2 Automatically processing dynamic business rules in a content management system 有权
标题翻译：在内容管理系统中自动处理动态业务规则
公开(公告)号：US08140362B2
公开(公告)日：2012-03-20
申请号：US11216578
申请日：2005-08-30
申请人： Prasad Manikarao Deshpande , Savitha Srinivasan
发明人： Prasad Manikarao Deshpande , Savitha Srinivasan
IPC分类号： G06N5/02
CPC分类号： G06N5/025 , G06Q10/063 , G06Q10/10
摘要： A business rule processing system automatically processes dynamic business rules in a content management system, allowing frequent updates to the business rules. The updates can be automatically adapted by the system without restarting the content management system. The system utilizes a stand-alone rule engine. Business logic is encoded as business rule definition files using a platform-independent language; the business rule definition files are stored in a central business rule repository. The business rules are managed and executed by the rules engine; the rules engine provides business rule processing services to other parts of the content management system. The system reduces development and maintenance cost, accelerates the business rule update cycle, and simplifies administration efforts.
摘要翻译：业务规则处理系统在内容管理系统中自动处理动态业务规则，允许频繁更新业务规则。更新可以由系统自动调整，而无需重新启动内容管理系统。该系统利用独立的规则引擎。业务逻辑使用平台无关语言编码为业务规则定义文件; 业务规则定义文件存储在中央业务规则库中。业务规则由规则引擎管理和执行; 规则引擎向内容管理系统的其他部分提供业务规则处理服务。系统降低开发和维护成本，加快业务规则更新周期，简化管理工作。

23. 发明授权

US07809711B2 System and method for semantic analysis of intelligent device discovery 有权
标题翻译：智能设备发现语义分析系统与方法
公开(公告)号：US07809711B2
公开(公告)日：2010-10-05
申请号：US11422055
申请日：2006-06-02
申请人： Alfredo Alba , Varun Bhagwan , Daniel Frederick Gruhl , Savitha Srinivasan
发明人： Alfredo Alba , Varun Bhagwan , Daniel Frederick Gruhl , Savitha Srinivasan
IPC分类号： G06F7/00 , G06F17/30
CPC分类号： G06F17/30867 , G06F17/3071
摘要： The present invention provides a method, system, and service of analyzing electronic documents in an intranet, where the intranet includes a plurality of web sites. In an exemplary embodiment, the method, system, and service include (1) crawling HTML content and text content in a set of the sites, (2) deep-scanning non-HTML content and non-text content in the set of sites, (3) reverse-scanning the set of sites, (4) performing a semantic analysis of the crawled content and the deep-scanned content, (5) correlating the results of the semantic analysis with the results of the reverse-scanning, and (6) comparing user navigation patterns and content from the members of the set of sites. In a further embodiment, the method, system, and service further include combining the results of the performing, the results of the correlating, and the results of the comparing.
摘要翻译：本发明提供了一种在内联网中分析电子文档的方法，系统和服务，其中内联网包括多个网站。在示例性实施例中，方法，系统和服务包括（1）在一组站点中爬行HTML内容和文本内容，（2）深度扫描该站点集中的非HTML内容和非文本内容，（3）逆向扫描站点集，（4）对爬网内容和深度扫描内容执行语义分析，（5）将语义分析结果与反向扫描结果相关联， 6）比较用户导航模式和来自该组网站的成员的内容。在另一实施例中，方法，系统和服务还包括组合执行结果，相关结果和比较结果。

24. 发明申请

US20060085788A1 Grammar-based task analysis of web logs 有权
标题翻译： Web日志的语法任务分析
公开(公告)号：US20060085788A1
公开(公告)日：2006-04-20
申请号：US10952414
申请日：2004-09-29
申请人： Arnon Amir , Prasad Deshpande , Savitha Srinivasan , Vladimir Zbarsky
发明人： Arnon Amir , Prasad Deshpande , Savitha Srinivasan , Vladimir Zbarsky
IPC分类号： G06F9/46
CPC分类号： G06F8/30
摘要： A method of detecting tasks performed by users wherein a single task is a sequence of web URLs invocation. Task patterns are detected in web logs to identify tasks performed by users and analyze task trends over time, across corporate divisions and geographies. A grammar-based framework is used to model and detect tasks from web log patterns. The framework has two components: a declarative unit—to generate a task grammar, and a processing unit—to detect tasks from access logs by generating a state machine for applying the task grammar to the tokens associated with the access records. By analyzing user tasks, rather than just URLs, useful business information can be extracted.
摘要翻译：检测由用户执行的任务的方法，其中单个任务是web URL调用的序列。在Web日志中检测到任务模式，以识别用户执行的任务，并在不同的部门和地理位置分析随时间的任务趋势。基于语法的框架用于从Web日志模式建模和检测任务。该框架有两个组件：一个声明单元，用于生成一个任务语法，以及一个处理单元，用于通过生成用于将任务语法应用到与访问记录相关联的令牌的状态机来检测来自访问日志的任务。通过分析用户任务，而不仅仅是URL，可以提取有用的业务信息。

25. 发明授权

US06928407B2 System and method for the automatic discovery of salient segments in speech transcripts 有权
标题翻译：自动发现语音成绩单中显着部分的系统和方法
公开(公告)号：US06928407B2
公开(公告)日：2005-08-09
申请号：US10109960
申请日：2002-03-29
申请人： Dulce Beatriz Ponceleon , Savitha Srinivasan
发明人： Dulce Beatriz Ponceleon , Savitha Srinivasan
IPC分类号： G10L15/18 , G10L15/04 , G06F17/27
CPC分类号： G10L15/1822 , Y10S707/99937
摘要： A system and associated method automatically discover salient segments in a speech transcript and focus on the segmentation of an audio/video source into topically cohesive segments based on Automatic Speech Recognition (ASR) transcriptions. The word n-grams are extracted from the speech transcript using a three-phase segmentation algorithm based on the following sequence or combination of boundary-based and content-based methods: a boundary-based method; a rate of arrival of feature method; and a content-based method. In the first two segmentation passes, the temporal proximity and the rate of arrival of features are analyzed to compute an initial segmentation. In the third segmentation pass, changes in the set of content-bearing words used by adjacent segments are detected, to validate the initial segments for merging them, to prevent over-segmentation.
摘要翻译：系统和相关方法自动发现语音录音中的突出部分，并将焦点集中在基于自动语音识别（ASR）转录的音频/视频源到局部内聚片段中。使用基于边界和基于内容的方法的以下序列或组合的三阶段分割算法从语音转录中提取单词n-gram：基于边界的方法; 特征法的到达率; 和基于内容的方法。在前两个分割段中，分析特征的时间接近度和到达速率以计算初始分割。在第三个分割段中，检测相邻段使用的含有内容的单词集合中的变化，以验证其合并的初始段，以防止过度分割。

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