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    • 6. 发明申请
    • Method and system of using artifacts to identify elements of a component business model
    • 使用工件识别组件业务模型元素的方法和系统
    • US20070162482A1
    • 2007-07-12
    • US11328919
    • 2006-01-10
    • David FlaxerAnil NigamGuy RackhamJohn Vergo
    • David FlaxerAnil NigamGuy RackhamJohn Vergo
    • G06F7/00
    • G06Q10/06G06Q10/063G06Q10/06375G06Q30/0635Y10S707/99942
    • A method and system are described for using business artifacts to identify elements of a component business model. Artifacts operated upon by the business are first identified, and then used to analyze the business into business operations. This is done by identifying every business activity that acts on an artifact, creating directed graphs for the business activities, and decomposing the directed graphs into sub-graphs, each sub-graph representing a business operation and being annotated by a verb expression, the annotated sub-graph representing a business service. The business services are then clustered into non-overlapping components, using common affinities reflected in the verb expressions, and organized by partitioning into internal and external operations, exposing a business service for each external operation. The components are then clustered into non-overlapping business competencies, and arranged by accountability level.
    • 描述了使用业务工件来标识组件业务模型的元素的方法和系统。 首先确定业务经营的人工制品,然后用于将业务分析为业务运营。 这是通过识别对作品进行的每个业务活动,为业务活动创建有向图,并将有向图分解为子图,每个子图表示业务操作,并由动词表达注释,注释 代表业务服务的子图。 然后,业务服务被聚集成不重叠的组件,使用反映在动词表达式中的常见的亲和力,并且通过分割成内部和外部操作来组织,暴露每个外部操作的业务服务。 然后,这些组件被聚集成不重叠的业务能力,并按问责层级进行安排。
    • 8. 发明申请
    • Enterprise portfolio analysis using finite state Markov decision process
    • 使用有限状态马尔科夫决策过程的企业投资组合分析
    • US20060195373A1
    • 2006-08-31
    • US11067219
    • 2005-02-28
    • David FlaxerPaul GreensteinRobert HampshireAnil NigamJohn Vergo
    • David FlaxerPaul GreensteinRobert HampshireAnil NigamJohn Vergo
    • G06Q40/00
    • G06Q40/00G06Q40/04G06Q40/06
    • This invention introduces a method, system and computer readable media that enables a computer system or computer networked system to perform enterprise portfolio transition optimization. The invention considers several key factors that are traditionally treated informally. The invention provides a sequential decision model for enterprise portfolio transition management of computer and software resources. Using a finite state Markov Decision process, a mathematical formulation is developed to ensure an optimal enterprise portfolio transition plan, with the objective of balancing expected value and risk, that is solved numerically via an approximate dynamic programming algorithm. The output of the model is a set of recommendations in the form of a transition plan for each of the computer and software resources selected within the enterprise portfolio during each phase of a planning horizon.
    • 本发明引入了使得计算机系统或计算机网络化系统能够执行企业组合转换优化的方法,系统和计算机可读介质。 本发明考虑了传统上非正式对待的几个关键因素。 本发明为计算机和软件资源的企业投资组合过渡管理提供了顺序决策模型。 使用有限状态马尔可夫决策过程,开发了一种数学公式,以确保最佳企业投资组合过渡计划,其目的是平衡预期值和风险,通过近似动态规划算法数值解决。 模型的输出是在计划期间的每个阶段期间以企业组合内选择的每个计算机和软件资源的过渡计划的形式的一组建议。
    • 9. 发明申请
    • System and method for user rank search
    • 用户等级搜索的系统和方法
    • US20050256848A1
    • 2005-11-17
    • US10844996
    • 2004-05-13
    • Sherman AlpertThomas CofinoJohn KaratJohn VergoCatherine Wolf
    • Sherman AlpertThomas CofinoJohn KaratJohn VergoCatherine Wolf
    • G06F7/00
    • G06F16/9535
    • A method and apparatus are disclosed for ranking the results of a document search by identifying a prior, similar search and assigning a weight to each document based on whether the document was selected by a user of the prior search. The assigned weights are utilized to rank the documents identified by the document search in order of their relevance to the search terms. The search terms of the document search and information describing the selections made by a user of the document search are then stored to facilitate the assignment of weights to documents in future searches. According to another aspect of the invention, the weight assigned to a document is correlated to a degree of closeness of search terms of a prior search and search terms of a new document search. For example, a degree of closeness measurement is defined that correlates to a number of synonyms common between the search terms of a prior search and the search terms of a new document search.
    • 公开了一种方法和装置,用于通过基于先前搜索的用户是否选择了文档,通过识别先前的类似搜索和向每个文档分配权重来对文档搜索的结果进行排名。 分配的权重用于按照与搜索项的相关性的顺序对由文档搜索确定的文档进行排名。 然后存储文档搜索的搜索条件和描述用户对文档搜索进行的选择的信息,以便于将来的搜索中的文档的权重分配。 根据本发明的另一方面,分配给文档的权重与新文档搜索的先前搜索和搜索项的搜索项的接近程度相关。 例如,一定程度的亲密度测量被定义为与先前搜索的搜索词与新文档搜索的搜索词之间共同的多少同义词相关。