Collaborative networking with optimized inter-domain information quality assessment
    31.
    发明授权
    Collaborative networking with optimized inter-domain information quality assessment 有权
    具有优化的域间信息质量评估的协作网络

    公开(公告)号:US08560490B2

    公开(公告)日:2013-10-15

    申请号:US12709823

    申请日:2010-02-22

    CPC classification number: G06Q10/107

    Abstract: A method for implementing inter-domain information quality assessment includes calculating relationships among domains in a knowledge base by identifying features that respectively define each of the domains and identifying domains having correlating features. The method also includes assigning values to pairs of the domains that reflect a closeness of the relationships based upon the correlating features. The method further includes evaluating a reputation of an entity in one domain based on past performance of the entity with respect to another domain where the other domain is determined, via the assigned values, to be related to the domain. The past performance of the entity indicates capabilities of the entity to render accurate predictions about events in a particular domain. The method also includes calculating a value representing the reputation of the entity with respect to the domain based upon the evaluation and assigning the value representing the reputation to the entity.

    Abstract translation: 用于实现域间信息质量评估的方法包括通过识别分别定义每个域并且识别具有相关特征的域的特征来计算知识库中的域之间的关系。 该方法还包括根据相关特征将值分配给反映关系的接近度的域对。 所述方法还包括:基于所述实体相对于其他域被确定的另一域的过去性能,经由所述分配值与所述域相关来评估一个域中的实体的信誉。 实体的过去表现表明实体呈现关于特定域中的事件的准确预测的能力。 该方法还包括基于评估计算表示实体相对于域的信誉的值,并将表示信誉的值分配给该实体。

    COLLABORATIVE NETWORKING WITH OPTIMIZED INTER-DOMAIN INFORMATION QUALITY ASSESSMENT
    32.
    发明申请
    COLLABORATIVE NETWORKING WITH OPTIMIZED INTER-DOMAIN INFORMATION QUALITY ASSESSMENT 有权
    具有优化的互联网信息质量评估的协作网络

    公开(公告)号:US20110208687A1

    公开(公告)日:2011-08-25

    申请号:US12709823

    申请日:2010-02-22

    CPC classification number: G06Q10/107

    Abstract: A method for implementing inter-domain information quality assessment includes calculating relationships among domains in a knowledge base by identifying features that respectively define each of the domains and identifying domains having correlating features. The method also includes assigning values to pairs of the domains that reflect a closeness of the relationships based upon the correlating features. The method further includes evaluating a reputation of an entity in one domain based on past performance of the entity with respect to another domain where the other domain is determined, via the assigned values, to be related to the domain. The past performance of the entity indicates capabilities of the entity to render accurate predictions about events in a particular domain. The method also includes calculating a value representing the reputation of the entity with respect to the domain based upon the evaluation and assigning the value representing the reputation to the entity.

    Abstract translation: 用于实现域间信息质量评估的方法包括通过识别分别定义每个域并且识别具有相关特征的域的特征来计算知识库中的域之间的关系。 该方法还包括根据相关特征将值分配给反映关系的接近度的域对。 所述方法还包括:基于所述实体相对于其他域被确定的另一域的过去性能,经由所述分配值与所述域相关来评估一个域中的实体的信誉。 实体的过去表现表明实体呈现关于特定域中的事件的准确预测的能力。 该方法还包括基于评估计算表示实体相对于域的信誉的值,并将表示信誉的值分配给该实体。

    COLLABORATIVE NETWORKING WITH OPTIMIZED INFORMATION QUALITY ASSESSMENT
    33.
    发明申请
    COLLABORATIVE NETWORKING WITH OPTIMIZED INFORMATION QUALITY ASSESSMENT 失效
    协同网络优化信息质量评估

    公开(公告)号:US20110208684A1

    公开(公告)日:2011-08-25

    申请号:US12709765

    申请日:2010-02-22

    CPC classification number: G06Q30/02

    Abstract: A method for implementing information quality assessment includes receiving a value relating to a predicted outcome of an event from each of an entity and at least one other entity and a reputation score for the entity and the other entity. The method also includes generating a collective prediction value for the event that reflects a collective prediction for the event. The collective prediction value is generated from predicted outcome values from the entity and the other entity. The collective prediction value is calculated as a function of reputation scores corresponding to the entity and the other entity.

    Abstract translation: 用于实现信息质量评估的方法包括从实体和至少一个其他实体的每一个接收与事件的预测结果相关的值,以及用于该实体和另一个实体的信誉分数。 该方法还包括为反映事件的集体预测的事件生成集体预测值。 集体预测值是从实体和其他实体的预测结果值生成的。 集体预测值被计算为与实体和另一实体对应的信誉评分的函数。

    Method and apparatus for automatic multimedia narrative enrichment
    34.
    发明授权
    Method and apparatus for automatic multimedia narrative enrichment 有权
    自动多媒体叙事丰富的方法和装置

    公开(公告)号:US07818329B2

    公开(公告)日:2010-10-19

    申请号:US11759654

    申请日:2007-06-07

    CPC classification number: G06F17/30056 G06F17/30038 Y10S707/99934

    Abstract: A method and apparatus is disclosed that receives an input narrative in a particular media format, and produces therefrom a multimedia enriched version of the input narrative. In one embodiment, a method is provided for enriching an input narrative with multimedia content, wherein the method includes the step of selectively segmenting the input narrative to form queries pertaining to different portions or elements of the input narrative. The method further comprises retrieving multimedia artifacts from one or more multimedia repositories, wherein each retrieved multimedia artifact is associated with one of the queries, and selecting a subset of the retrieved multimedia artifacts, wherein the subset includes artifacts comprising different types of multimedia content. The input narrative is then combined with respective multimedia artifacts of the subset, in order to provide an enriched and enhanced narrative.

    Abstract translation: 公开了一种以特定媒体格式接收输入叙述的方法和装置,并从其产生输入叙述的多媒体增强版本。 在一个实施例中,提供了一种用于利用多媒体内容丰富输入叙事的方法,其中所述方法包括选择性地分割输入叙述以形成关于输入叙述的不同部分或元素的查询的步骤。 该方法还包括从一个或多个多媒体存储库检索多媒体伪影,其中每个检索到的多媒体伪影与查询中的一个相关联,并且选择检索到的多媒体伪影的子集,其中该子集包括包含不同类型的多媒体内容的伪影。 然后将输入叙述与该子集的相应多媒体工件组合,以便提供丰富和增强的叙事。

    Method and apparatus for autonomous classification
    35.
    发明授权
    Method and apparatus for autonomous classification 有权
    自主分类方法和装置

    公开(公告)号:US07426498B2

    公开(公告)日:2008-09-16

    申请号:US10899857

    申请日:2004-07-27

    CPC classification number: G06N99/005

    Abstract: An autonomous classification device which enables the creation of autonomous classifiers that are easy to deploy, adapt and optimize in the environment in which they are used. The classifier is autonomous in that it can perform three functions that define autonomic systems: automatically configure itself in an environment, optimize its performance using the environment and mechanisms for performance, and continually adapting to improve performance and heal itself in a changing environment.

    Abstract translation: 一种自主分类装置,能够创建易于部署,适应和优化的自主分类器。 分类器是自主的,因为它可以执行定义自主系统的三个功能:在环境中自动配置自身,使用环境和性能机制优化其性能,并不断适应改善性能并在不断变化的环境中治愈自身。

    Method for resource allocation among classifiers in classification systems
    36.
    发明授权
    Method for resource allocation among classifiers in classification systems 有权
    分类系统中分类器之间的资源分配方法

    公开(公告)号:US07401062B2

    公开(公告)日:2008-07-15

    申请号:US11451972

    申请日:2006-06-13

    CPC classification number: G06F9/50 G06N99/005

    Abstract: Methods and apparatus for optimizing resource allocation among data analysis functions in a classification system are provided. Each of the data analysis functions is characterized as a set of operating points in accordance with at least one of resource requirements and analysis quality. An operating point for each of the data analysis functions is selected in accordance with one or more constraints. The analysis functions are applied at selected operating points to optimize resource allocation among the data analysis functions in the classification system.

    Abstract translation: 提供了一种用于优化分类系统中数据分析功能之间的资源分配的方法和装置。 根据资源需求和分析质量中的至少一个,每个数据分析功能被表征为一组操作点。 根据一个或多个约束来选择每个数据分析功能的操作点。 分析功能应用于所选择的操作点,以优化分类系统中数据分析功能之间的资源分配。

    Method and Apparatus for Resource Allocation Among Classifiers in Classification Systems
    37.
    发明申请
    Method and Apparatus for Resource Allocation Among Classifiers in Classification Systems 有权
    分类系统中分类器之间资源分配的方法与装置

    公开(公告)号:US20080168462A1

    公开(公告)日:2008-07-10

    申请号:US12054955

    申请日:2008-03-25

    CPC classification number: G06F9/50 G06N99/005

    Abstract: Methods and apparatus for optimizing resource allocation among data analysis functions in a classification system are provided. Each of the data analysis functions is characterized as a set of operating points in accordance with at least one of resource requirements and analysis quality. An operating point for each of the data analysis functions is selected in accordance with one or more constraints. The analysis functions are applied at selected operating points to optimize resource allocation among the data analysis functions in the classification system.

    Abstract translation: 提供了一种用于优化分类系统中数据分析功能之间的资源分配的方法和装置。 根据资源需求和分析质量中的至少一个,每个数据分析功能被表征为一组操作点。 根据一个或多个约束来选择每个数据分析功能的操作点。 分析功能应用于所选择的操作点,以优化分类系统中数据分析功能之间的资源分配。

    METHOD AND APPARATUS FOR CLASSIFYING MULTIMEDIA ARTIFACTS USING ONTOLOGY SELECTION AND SEMANTIC CLASSIFICATION
    38.
    发明申请
    METHOD AND APPARATUS FOR CLASSIFYING MULTIMEDIA ARTIFACTS USING ONTOLOGY SELECTION AND SEMANTIC CLASSIFICATION 有权
    使用本体选择和语义分类分类多媒体手段的方法和装置

    公开(公告)号:US20080168070A1

    公开(公告)日:2008-07-10

    申请号:US11620838

    申请日:2007-01-08

    CPC classification number: G06F17/30707 G06F17/30038 Y10S707/99944

    Abstract: A method and apparatus is provided for automatically classifying a multimedia artifact based on scoring, and selecting the appropriate set of ontologies from among all possible sets of ontologies, preferably using a recursive routing selection technique. The semantic tagging of the multimedia artifact is enhanced by applying only classifiers from the selected ontology, for use in classifying the multimedia artifact, wherein the classifiers are selected based on the context of the multimedia artifact. One embodiment of the invention, directed to a method for classifying a multimedia artifact, uses a specified criteria to select one or more ontologies, wherein the specified criteria indicates the comparative similarity between specified characteristics of the multimedia artifact and each ontology. The method further comprises scoring and selecting one or more classifiers from a plurality of classifiers that respectively correspond to semantic element of the selected ontologies, and evaluating the multimedia artifact using the selected classifiers to determine a classification for the multimedia artifact.

    Abstract translation: 提供了一种方法和装置,用于基于评分来自动分类多媒体伪影,并且优选地使用递归路由选择技术从所有可能的本体集合中选择适当的本体集合。 通过仅从所选择的本体应用分类器来增强多媒体伪像的语义标记,用于对多媒体伪影进行分类,其中基于多媒体伪影的上下文来选择分类器。 本发明的一个实施例涉及一种用于分类多媒体伪影的方法,使用指定的标准来选择一个或多个本体,其中,所指定的标准表示多媒体伪影的特定特征与每个本体之间的比较相似度。 该方法还包括从分别对应于所选本体的语义元素的多个分类器中对一个或多个分类器进行评分和选择,以及使用所选择的分类器来评估多媒体伪影以确定多媒体伪像的分类。

    METHOD AND APPARATUS FOR SEMANTIC SUPER-RESOLUTION OF AUDIO-VISUAL DATA
    39.
    发明申请
    METHOD AND APPARATUS FOR SEMANTIC SUPER-RESOLUTION OF AUDIO-VISUAL DATA 审中-公开
    音视频数据的语义超分辨率的方法和装置

    公开(公告)号:US20080162561A1

    公开(公告)日:2008-07-03

    申请号:US11619342

    申请日:2007-01-03

    Abstract: An embodiment of the present invention relates to the combining of multiple semantic analyses of audio-visual data in order to resolve a higher fidelity description of the semantic content and more specifically to a method for applying semantic concept detection over multiple related audio-video sources, scoring the sources on the basis of presence or absence of specific semantics and aggregating the scores using combination functions to achieve a semantic super-resolution.

    Abstract translation: 本发明的一个实施例涉及对视听数据的多个语义分析的组合,以便解析语义内容的较高保真度描述,更具体地说涉及一种在多个相关音频视频源上应用语义概念检测的方法, 在存在或不存在特定语义的基础上对源进行评分,并使用组合函数聚合分数,以实现语义超分辨率。

    METHOD AND COMPUTER PROGRAM PRODUCT FOR COLLECTION-BASED ITERATIVE REFINEMENT OF SEMANTIC ASSOCIATIONS ACCORDING TO GRANULARITY
    40.
    发明申请
    METHOD AND COMPUTER PROGRAM PRODUCT FOR COLLECTION-BASED ITERATIVE REFINEMENT OF SEMANTIC ASSOCIATIONS ACCORDING TO GRANULARITY 审中-公开
    基于收集的方法和计算机程序产品根据格式的语义协会

    公开(公告)号:US20080005159A1

    公开(公告)日:2008-01-03

    申请号:US11427101

    申请日:2006-06-28

    CPC classification number: G06F16/319

    Abstract: A computer implemented method and computer program product for automatically building semantic associations within a database of unstructured information includes an algorithm for mapping data within the unstructured information and iteratively improving semantic labels for association with the data, until such point as associations pass a convergence test and then the semantic associations are made.

    Abstract translation: 一种用于在非结构化信息的数据库内自动建立语义关联的计算机实现的方法和计算机程序产品包括用于映射非结构化信息内的数据并迭代地改进与数据相关联的语义标签的算法,直到关联通过收敛测试为止, 然后进行语义关联。

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