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1. 发明申请

US20120130972A1 CONCEPT DISAMBIGUATION VIA SEARCH ENGINE SEARCH RESULTS 有权
标题翻译：通过搜索引擎搜索结果概念排除
公开(公告)号：US20120130972A1
公开(公告)日：2012-05-24
申请号：US12953139
申请日：2010-11-23
申请人： DAVID AHN , MICHAEL PAUL BIENIOSEK , ANDREI PETER MAKHANOV , FRANCO SALVETTI , GIOVANNI LORENZO THIONE
发明人： DAVID AHN , MICHAEL PAUL BIENIOSEK , ANDREI PETER MAKHANOV , FRANCO SALVETTI , GIOVANNI LORENZO THIONE
IPC分类号： G06F17/30
CPC分类号： G06F17/30675
摘要： Concept disambiguation is provided for search queries by analyzing search results in conjunction with an ontology of concepts. An ontology of concepts is identified, and at least one document is associated with each concept. The document associated with a concept is representative of the concept and used to generate a concept signature. When a search query is received, it is processed to obtain search results. The search results are used to generate a search results signature, which is compared to the concept signatures to identify one or more concepts that are relevant to the search query.
摘要翻译：通过结合本体概念分析搜索结果，为搜索查询提供概念消歧。识别概念的本体论，并且至少一个文档与每个概念相关联。与概念相关联的文档代表了概念，并用于生成概念签名。当收到一个搜索查询时，它被处理以获得搜索结果。搜索结果用于生成搜索结果签名，其与概念签名进行比较以识别与搜索查询相关的一个或多个概念。

2. 发明授权

US08041697B2 Semi-automatic example-based induction of semantic translation rules to support natural language search 有权
标题翻译：基于半自动的基于示例的语义翻译规则的归纳来支持自然语言搜索
公开(公告)号：US08041697B2
公开(公告)日：2011-10-18
申请号：US12201066
申请日：2008-08-29
申请人： Emmanuel Rayner , Richard Crouch , Hannah Copperman , Giovanni Lorenzo Thione , Martin Henk Van Den Berg
发明人： Emmanuel Rayner , Richard Crouch , Hannah Copperman , Giovanni Lorenzo Thione , Martin Henk Van Den Berg
IPC分类号： G06F17/30
CPC分类号： G06F17/30663 , G06F17/30616 , G06F17/30684
摘要： Technologies are described herein for generating a semantic translation rule to support natural language search. In one method, a first expression and a second expression are received. A first representation is generated based on the first expression, and a second representation is generated based on the second expression. Aligned pairs of a first term in the first representation and a second term in the second representation are determined. For each aligned pair, the first term and the second term are replaced with a variable associated with the aligned pair. Word facts that occur in both the first representation and the second representation are removed from the first representation and the second representation. The remaining word facts in the first representation are replaced with a broader representation of the word facts. The translation rule including the first representation, an operator, and the second semantic representation is generated.
摘要翻译：本文描述了用于生成支持自然语言搜索的语义翻译规则的技术。在一种方法中，接收第一表达式和第二表达式。基于第一表达式生成第一表示，并且基于第二表达式生成第二表示。确定第一表示中的第一项和第二表示中的第二项的对齐对。对于每个对齐的对，第一项和第二项被替换为与对齐对相关的变量。在第一表示和第二表示中出现的字事实从第一表示和第二表示中移除。第一个表述中的剩余单词事实被替换为事实一词的更广泛的表示。生成包括第一表示，运算符和第二语义表示的翻译规则。

3. 发明授权

US07689645B2 Systems and methods for brokering services 失效
标题翻译：经纪服务的系统和方法
公开(公告)号：US07689645B2
公开(公告)日：2010-03-30
申请号：US11090824
申请日：2005-03-24
申请人： Giovanni Lorenzo Thione , Martin Henk Van Den Berg
发明人： Giovanni Lorenzo Thione , Martin Henk Van Den Berg
IPC分类号： G06F15/16
CPC分类号： G06F17/3089 , H04L12/66
摘要： Techniques are provided to determine service data features from an archive of web service transactions. Data features for functionally identical classes of service are determined. Differentiating data feature patterns uniquely identifying each service within the class are learned using machine learning, clustering, statistical analysis and the like. A service map associating services with the differentiating patterns is determined. The service map contains data feature patterns that differentiate among otherwise functionally identical services. The data features are optionally associated with past usage, objective and subjective service quality measurements and the like. The data features of the received service requests are compared to differentiating patterns in the service map. The service associated with the differentiating patterns matching the data features of the service request is selected. The data features of the service request may include, but document language, document genre, number of words or characters, type of images, subject matter of images and the like.
摘要翻译：提供技术来从Web服务事务的归档中确定服务数据特征。确定功能相同的服务类别的数据特征。使用机器学习，聚类，统计分析等方法，对使用该类别中唯一标识每个服务的数据特征模式进行区分。确定将服务与区分模式相关联的服务地图。服务地图包含区分功能相同服务的数据特征模式。数据特征可选地与过去的使用，客观和主观的服务质量测量等相关联。将接收的服务请求的数据特征与服务映射中的区分模式进行比较。选择与匹配服务请求的数据特征的区分模式相关联的服务。服务请求的数据特征可以包括但是文档语言，文档类型，单词或字符的数量，图像的类型，图像的主题等等。

4. 发明申请

US20090204620A1 SYSTEMS AND METHODS FOR COLLABORATIVE NOTE-TAKING 审中-公开
标题翻译：用于协调注意事项的系统和方法
公开(公告)号：US20090204620A1
公开(公告)日：2009-08-13
申请号：US12428322
申请日：2009-04-22
申请人： Giovanni Lorenzo Thione , Laurent Denoue , Martin Henk Van Den Berg
发明人： Giovanni Lorenzo Thione , Laurent Denoue , Martin Henk Van Den Berg
IPC分类号： G06F17/30 , G06F17/27
CPC分类号： G06F17/24 , G10L15/22 , G10L2015/228 , Y10S707/99936
摘要： Techniques are provided for determining collaborative notes and automatically recognizing speech, handwriting and other type of information. Domain and optional actor/speaker information associated with the support information is determined. An initial automatic speech recognition model is determined based on the domain and/or actor information. The domain and/or actor/speaker language model is used to recognize text in the speech information associated with the support information. Presentation support information such as slides, speaker notes and the like are determined. The semantic overlap between the support information and the salient non-function words in the recognized text and collaborative user feedback information are used to determine relevancy scores for the recognized text. Grammaticality, well formedness, self referential integrity and other features are used to determine correctness scores. Suggested collaborative notes are displayed in the user interface based on the salient non-function words. User actions in the user interface determine feedback signals. Recognition models such as automatic speech recognition, handwriting recognition are determined based on the feedback signals and the correctness and relevance scores.
摘要翻译：提供了用于确定协作笔记并自动识别语音，手写和其他类型的信息的技术。确定与支持信息相关联的域和可选演员/扬声器信息。基于域和/或行为者信息确定初始自动语音识别模型。域和/或演员/扬声器语言模型用于识别与支持信息相关联的语音信息中的文本。确定幻灯片，说话者笔记等的演示支援信息。使用识别文本中的支持信息和显着非函数词之间的语义重叠以及协作用户反馈信息来确定识别文本的相关性得分。使用语法，良好的形态，自我参照完整性等特征来确定正确性分数。基于显着的非功能词，建议的协作笔记显示在用户界面中。用户界面中的用户操作决定了反馈信号。基于反馈信号和正确性和相关性分数确定自动语音识别，手写识别等识别模型。

5. 发明申请

US20070098266A1 Cascading cluster collages: visualization of image search results on small displays 有权
标题翻译：级联聚类拼贴：在小型显示器上图像搜索结果的可视化
公开(公告)号：US20070098266A1
公开(公告)日：2007-05-03
申请号：US11405316
申请日：2006-04-17
申请人： Patrick Chiu , Bee Yian Liew , Andreas Girgensohn , Martin van den Berg , Giovanni Lorenzo Thione
发明人： Patrick Chiu , Bee Yian Liew , Andreas Girgensohn , Martin van den Berg , Giovanni Lorenzo Thione
IPC分类号： G06K9/62 , G06F17/00
CPC分类号： G06F17/30265
摘要： The present invention relates to a method to make effective use of display space. In an embodiment of the invention, given a heterogeneous set of images along with metadata or nearby text, similar images are recursively clustered into a k-tree using the k-means algorithm. In an embodiment of the invention, the invention is particularly useful for showing image search results on small mobile devices.
摘要翻译：本发明涉及一种有效利用显示空间的方法。在本发明的实施例中，给定图像的不均匀集合以及元数据或附近文本，使用k均值算法将相似的图像递归地聚类成k-树。在本发明的实施例中，本发明对于在小型移动设备上显示图像搜索结果特别有用。

6. 发明授权

US08868562B2 Identification of semantic relationships within reported speech 有权
标题翻译：在报告的语音中识别语义关系
公开(公告)号：US08868562B2
公开(公告)日：2014-10-21
申请号：US12201675
申请日：2008-08-29
申请人： Richard S. Crouch , Martin Henk Van Den Berg , David Ahn , Olga Gurevich , Barney D. Pell , Livia Polanyi , Scott A. Prevost , Giovanni Lorenzo Thione
发明人： Richard S. Crouch , Martin Henk Van Den Berg , David Ahn , Olga Gurevich , Barney D. Pell , Livia Polanyi , Scott A. Prevost , Giovanni Lorenzo Thione
IPC分类号： G06F7/00 , G06F17/30
CPC分类号： G06F17/30705 , G06F17/30011 , G06F17/30616 , G06F17/30619 , G06F17/30684
摘要： Methods and computer-readable media for associating words or groups of words distilled from content, such as reported speech or an attitude report, of a document to form semantic relationships collectively used to generate a semantic representation of the content are provided. Semantic representations may include elements identified or parsed from a text portion of the content, the elements of which may be associated with other elements that share a semantic relationship, such as an agent, location, or topic relationship. Relationships may also be developed by associating one element that is in relation to, or is about, another element, thereby allowing for rapid and effective comparison of associations found in a semantic representation with associations derived from queries. The semantic relationships may be determined based on semantic information, such as potential meanings and grammatical functions of each element within the text portion of the content.
摘要翻译：提供了用于将从内容中提取出来的单词或组的组合的方法和计算机可读介质，例如文档的报告语音或态度报告，以形成共同用于生成内容的语义表示的语义关系。语义表示可以包括从内容的文本部分识别或解析的元素，其元素可以与共享语义关系的其他元素（例如代理，位置或主题关系）相关联。还可以通过将一个与另一个元素相关或相关的元素相关联来开发关系，从而允许快速有效地将在语义表示中找到的关联与从查询导出的关联进行比较。可以基于诸如内容的文本部分中的每个元素的潜在含义和语法功能的语义信息来确定语义关系。

7. 发明授权

US08209321B2 Emphasizing search results according to conceptual meaning 有权
标题翻译：强调搜索结果根据概念意义
公开(公告)号：US08209321B2
公开(公告)日：2012-06-26
申请号：US12201504
申请日：2008-08-29
申请人： Barney Pell , Scott Prevost , Giovanni Lorenzo Thione , Brendan O'Connor , Lukas Biewald
发明人： Barney Pell , Scott Prevost , Giovanni Lorenzo Thione , Brendan O'Connor , Lukas Biewald
IPC分类号： G06F7/00
CPC分类号： G06F17/30696 , G06F17/30684
摘要： Computer-readable media, computerized methods, and computer systems for conducting semantic processes to present search results that include highlighted regions which are relevant to a conceptual meaning of a query are provided. Initially, content of document(s) is accessed and semantic representations are derived by distilling linguistic representations from the content. These semantic representations may be stored at a semantic index. Also, a proposition is derived from the query by parsing search terms of the query, and distilling the proposition from the search terms. Typically, the proposition is a logical representation of the conceptual meaning of the query. The proposition is compared against the semantic representations at the semantic index to identify a matching set. Regions of the content within the document, from which the matching set of semantic representations are derived, are targeted. Accordingly, highlighting may be applied to the targeted regions when presenting or displaying the search results.
摘要翻译：提供了用于进行语义处理以呈现包括与查询的概念意义相关的突出显示区域的搜索结果的计算机可读介质，计算机化方法和计算机系统。最初，访问文档的内容，并通过从内容中提取语言表示来导出语义表示。这些语义表示可以存储在语义索引中。此外，通过解析查询的搜索条件，并从搜索词中提取命题，从查询中导出命题。通常，命题是查询的概念意义的逻辑表示。将该命题与语义索引处的语义表示进行比较，以识别匹配集。目标是从文档中导出匹配的语义表示集合的内容的区域。因此，当呈现或显示搜索结果时，突出显示可以应用于目标区域。

8. 发明申请

US20110173210A1 IDENTIFYING A TOPIC-RELEVANT SUBJECT 有权
标题翻译：识别主题相关主题
公开(公告)号：US20110173210A1
公开(公告)日：2011-07-14
申请号：US12684433
申请日：2010-01-08
申请人： DAVID DONGJAH AHN , MICHAEL PAUL BIENIOSEK , FRANCO SALVETTI , GIOVANNI LORENZO THIONE , IAN ROBERT COLLINS , TOBY TAKEO STERRETT
发明人： DAVID DONGJAH AHN , MICHAEL PAUL BIENIOSEK , FRANCO SALVETTI , GIOVANNI LORENZO THIONE , IAN ROBERT COLLINS , TOBY TAKEO STERRETT
IPC分类号： G06F17/30
CPC分类号： G06F17/30616
摘要： The present technology is related to identifying, from within a corpus of documents, a subject (e.g., person, location, date, etc.) that is relevant to a topic and that is usable to enhance a topic-describing document. Documents within the corpus of documents share a link structure, such that some documents include hyperlinks that enable navigation to the topic-describing document, and the topic-describing document includes hyperlinks that enable navigation to other documents. Text of documents within the corpus is parsed to identify the subject, and a context of the subject suggests a degree of relevance of the subject to the topic. An enhancement type of the subject is determined, and a version of the topic-describing document is enhanced to include a presentation of the subject.
摘要翻译：本技术涉及从文档的语料库中识别与主题相关并且可用于增强主题描述文档的主题（例如，人，位置，日期等）。文件语料库中的文档共享链接结构，使得一些文档包括能够导航到主题描述文档的超链接，并且主题描述文档包括能够导航到其他文档的超链接。语料库中文件的文本被解析以识别主题，并且该主题的上下文表明该主题与该主题的一定程度的相关性。确定对象的增强类型，并且增强主题描述文档的版本以包括对象的呈现。

9. 发明申请

US20090070322A1 BROWSING KNOWLEDGE ON THE BASIS OF SEMANTIC RELATIONS 审中-公开
标题翻译：在语言关系的基础上，深入了解知识
公开(公告)号：US20090070322A1
公开(公告)日：2009-03-12
申请号：US12201978
申请日：2008-08-29
申请人： FRANCO SALVETTI , GIOVANNI LORENZO THIONE , RICHARD S. CROUCH , DAVID AHN , LUKAS A. BIEWALD , BRENDAN O'CONNOR , BARNEY D. PELL
发明人： FRANCO SALVETTI , GIOVANNI LORENZO THIONE , RICHARD S. CROUCH , DAVID AHN , LUKAS A. BIEWALD , BRENDAN O'CONNOR , BARNEY D. PELL
IPC分类号： G06F7/06 , G06F17/30
CPC分类号： G06F16/338 , G06F16/313 , G06F16/3334 , G06F16/334
摘要： Computer-readable media and computer systems for conducting semantic processes to facilitate navigation of search results that include sets of tuples representing facts associated with content of documents in response to queries for information. Content of documents is accessed and semantic structures are derived by distilling linguistic representations from the content. Groups of two or more related words, called tuples, are extracted from the documents or the semantic structures. Tuples can be stored at a tuple index. Representations of the relational tuples are displayed in addition to documents retrieved in response to a query.
摘要翻译：计算机可读介质和计算机系统，用于进行语义处理以便于搜索结果的导航，该搜索结果包括响应于信息查询而表示与文档内容相关联的事实的元组的集合。访问文档的内容，并通过从内容中提取语言表示来导出语义结构。从文档或语义结构中提取两个或更多个相关词的组，称为元组。元组可以存储在元组索引中。除了响应查询检索的文档之外还显示关系元组的表示。

10. 发明申请

US20090063550A1 FACT-BASED INDEXING FOR NATURAL LANGUAGE SEARCH 有权
标题翻译：基于FACT的自然语言搜索索引
公开(公告)号：US20090063550A1
公开(公告)日：2009-03-05
申请号：US12201596
申请日：2008-08-29
申请人： MARTIN HENK VAN DEN BERG , DANIEL BOBROW , ROBERT D. CHESLOW , BARNEY D. PELL , GIOVANNI LORENZO THIONE , CHAD WATERS
发明人： MARTIN HENK VAN DEN BERG , DANIEL BOBROW , ROBERT D. CHESLOW , BARNEY D. PELL , GIOVANNI LORENZO THIONE , CHAD WATERS
IPC分类号： G06F17/30
CPC分类号： G06F17/30696 , G06F17/30684
摘要： Computer-readable media and a computer system for implementing a natural language search using fact-based structures and for generating such fact-based structures are provided. A fact-based structure is generated using a semantic structure, which represents information, such as text, from a document, such as a web page. Typically, a natural language parser is used to create a semantic structure of the information, and the parser identifies terms, as well as the relationship between the terms. A fact-based structure of a semantic structure allows for a linear structure of these terms and their relationships to be created, while also maintaining identifiers of the terms to convey the dependency of one fact-based structure on another fact-based structure. Additionally, synonyms and hypernyms are identified while generating the fact-based structure to improve the accuracy of the overall search.
摘要翻译：提供了计算机可读介质和用于使用基于事实的结构实现自然语言搜索和用于生成这种基于事实的结构的计算机系统。使用语义结构生成基于事实的结构，该语义结构表示来自文档（例如网页）的诸如文本的信息。通常，使用自然语言解析器来创建信息的语义结构，解析器识别术语以及术语之间的关系。语义结构的基于事实的结构允许创建这些术语及其关系的线性结构，同时还保留术语的标识符以传达一个基于事实的结构对另一个基于事实的结构的依赖。此外，在生成基于事实的结构以提高整体搜索的准确性的同时，确定同义词和高词。

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