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    • 33. 发明申请
    • METHOD AND APPARATUS FOR SAFE ONTOLOGY REASONING
    • 方法和装置安全的本体论理由
    • US20080065578A1
    • 2008-03-13
    • US11931601
    • 2007-10-31
    • Achille Fokoue-NkoutcheGenady GrabarnikNagui HalimAaron KershenbaumEdith SchonbergLarisa ShwartzKavitha Srinivas
    • Achille Fokoue-NkoutcheGenady GrabarnikNagui HalimAaron KershenbaumEdith SchonbergLarisa ShwartzKavitha Srinivas
    • G06N5/02
    • G06N5/04
    • The present invention is a method and apparatus for safe ontology reasoning. In one embodiment, a method for building safe sub-ontology that includes one or more elements of a given ontology includes designating at least one the elements as a sensitive element, where a sensitive element is an element not to be revealed. The method then designates a safe sub-ontology such that the safe sub-ontology does not include any elements that, alone or in combination, allow inference of a sensitive element, in accordance with one or more given inference rules. In another embodiment, a method for building a potential sub-ontology includes designating at least one of the elements as a sensitive element and including a maximal number of the elements in the potential sub-ontology, wherein the maximal number includes the greatest number of elements that can be revealed, cumulatively, without allowing inference of a sensitive element, in accordance with one or more given inference rules.
    • 本发明是一种安全本体推理的方法和装置。 在一个实施例中,一种用于构建包括给定本体的一个或多个元素的安全子本体的方法包括将至少一个元素指定为敏感元件,其中敏感元件是不被揭示的元件。 该方法然后指定安全子本体,使得安全子本体不包括根据一个或多个给定推理规则单独或组合地允许敏感元素的推断的任何元素。 在另一实施例中,构建潜在子本体的方法包括将至少一个元素指定为敏感元件并且包括潜在子本体中的元素的最大数量,其中最大数量包括最大数量的元素 可以根据一个或多个给定的推论规则累积地揭示,而不允许推断敏感元件。
    • 35. 发明授权
    • Method, computer program product, and system for deriving web transaction performance metrics
    • 方法,计算机程序产品和用于导出Web事务性能指标的系统
    • US06701363B1
    • 2004-03-02
    • US09516172
    • 2000-02-29
    • Willy W. ChiuNagui HalimJoseph L. HellersteinLeRoy Albert Krueger, Jr.W. Nathaniel Mills, IIIMark S. Squillante
    • Willy W. ChiuNagui HalimJoseph L. HellersteinLeRoy Albert Krueger, Jr.W. Nathaniel Mills, IIIMark S. Squillante
    • G06F15173
    • H04L41/5009H04L41/22H04L43/00H04L43/067H04L63/0428H04L67/02H04L67/22H04L67/34H04L69/329
    • The present invention comprises a method of relating characteristics gleaned by monitoring application transaction flows (and the decomposition thereof) to produce performance metrics useful to characterize the efficiency and performance of web transactions used in a web-based application. These metrics can assist application designers and developers in reorganizing their application content, programs, and transports to provide improved service to their consumer. Events are generated and composed into predefined activities on a web transaction basis. The performance metric is then derived that entails a relationship between at least two different activities that gives insight into the performance characteristics of the web transaction. By using the derived performance metrics, designers and developers of web pages can judge the effects of changes to their application relative to efficiency and performance. Different applications can also be compared and contrasted using these metrics. Furthermore, these metrics may serve as inputs to planning models used to project capacity, throughput, response time, and availability of the application.
    • 本发明包括一种通过监视应用事务流(及其分解)来收集特征的方法,以产生用于表征在基于Web的应用中使用的网络交易的效率和性能的性能度量。 这些指标可以帮助应用程序设计人员和开发人员重组其应用程序内容,程序和传输,以便为其消费者提供改进的服务。 生成事件,并将其组织成基于Web事务的预定义活动。 然后导出性能度量,其包含至少两个不同活动之间的关系,这些活动可以深入了解Web事务的性能特征。 通过使用派生的性能指标,网页的设计人员和开发人员可以相对于效率和性能来判断其应用程序的更改的影响。 也可以使用这些度量来比较和对比不同的应用程序。 此外,这些指标可以作为用于计划应用程序的容量,吞吐量,响应时间和可用性的规划模型的输入。
    • 38. 发明授权
    • Apparatus and methods for classification of web sites
    • 网站分类的设备和方法
    • US07792951B2
    • 2010-09-07
    • US10315705
    • 2002-12-10
    • Nagui HalimZhen LiuMark Steven SquillanteHonghui XiaShun-Zheng YuLi Zhang
    • Nagui HalimZhen LiuMark Steven SquillanteHonghui XiaShun-Zheng YuLi Zhang
    • G06F15/173
    • G06F17/3071
    • Apparatus and methods for classifying web sites are provided. With the apparatus and methods, traffic data is obtained for a plurality of web sites. This patterns, or templates, for each web site are generated based on this traffic data and the patterns are clustered into classes of web sites using a clustering algorithm. The clusters, or classes, are then profiled to generate a template for each class. The template for each class is generated by first shifting the patterns for each web site that is part of the class to compensate for effects like time zone differences, if any, and then identifying a pattern that is most similar to all of the patterns in the class. Once the template for each class is generated, this template is then used with traffic data from a new web site to classify the new web site into one of the existing classes. In other words, when traffic data for a new web site is received, a pattern for the traffic data of the new web site is generated and compared to the templates for the various classes. If a matching class template is identified, the new web site is classified into the corresponding class. If the pattern for the new web site does not match any of the existing templates, a new template and class may be generated based on the pattern for the new web site.
    • 提供了分类网站的装置和方法。 利用该装置和方法,获得多个网站的交通数据。 基于该流量数据生成每个网站的这种模式或模板,并且使用聚类算法将模式聚类成网站类。 然后,对集群或类进行概要分析以为每个类生成一个模板。 每个类的模板是通过首先移动作为类的一部分的每个网站的模式来生成的,以补偿诸如时​​区差异的效果(如果有的话),然后识别最相似于所有模式中的模式 类。 一旦生成了每个类的模板,该模板随后与来自新网站的流量数据一起使用,将新网站分类到现有的一个类中。 换句话说,当接收到新的网站的交通数据时,生成用于新网站的交通数据的模式,并与各种类别的模板进行比较。 如果识别出匹配的类模板,则将新的网站分类到相应的类中。 如果新网站的模式与任何现有模板不匹配,则可能会根据新网站的模式生成新的模板和类。