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    • 31. 发明申请
    • DEDUCTION OF ANALYTIC CONTEXT BASED ON TEXT AND SEMANTIC LAYER
    • 基于文本和语义层的分析语境的抑制
    • US20100094844A1
    • 2010-04-15
    • US12326379
    • 2008-12-02
    • Jean-Yves Cras
    • Jean-Yves Cras
    • G06F7/06G06F17/30
    • G06F17/2785G06F17/3056
    • A system includes reception of text, extraction of a plurality of linguistic entities and associated linguistic entity categories based on the text; determination of one or more semantic objects of a semantic layer based on the linguistic entity categories, and generation of a query of the semantic layer based on the plurality of linguistic entities, the associated linguistic entity categories, and the one or more semantic objects. In some aspects, extraction of the plurality of linguistic entities includes identification of the plurality of linguistic entities from a plurality of semantic object-independent linguistic entity categories and a plurality of semantic object-dependent linguistic entity categories, wherein the plurality of semantic object-dependent linguistic entity categories are associated with the semantic layer, and wherein each of the plurality of semantic object-dependent linguistic entity categories is associated with a respective semantic object of the semantic layer and each entity of each semantic object-dependent linguistic entity category is associated with a value of its respective semantic object.
    • 系统包括基于文本接收文本,提取多个语言实体和相关联的语言实体类别; 基于语言实体类别确定语义层的一个或多个语义对象,以及基于多个语言实体,相关联的语言实体类别和一个或多个语义对象生成语义层的查询。 在一些方面,多个语言实体的提取包括从多个语义对象无关语言实体类别和多个语义对象依赖语言实体类别中识别多个语言实体,其中多个语义对象依赖 语言实体类别与语义层相关联,并且其中多个语义对象依赖语言实体类别中的每一个与语义层的相应语义对象相关联,并且每个语义对象依赖语言实体类别的每个实体与 其各自的语义对象的值。
    • 35. 发明授权
    • Mapping of an RDBMS schema onto a multidimensional data model
    • 将RDBMS模式映射到多维数据模型
    • US07181440B2
    • 2007-02-20
    • US10899862
    • 2004-07-26
    • Jean-Yves CrasHenri BiestroRicardo Polo-Malouvier
    • Jean-Yves CrasHenri BiestroRicardo Polo-Malouvier
    • G06F17/30
    • G06F17/30592G06F17/30398Y10S707/99932Y10S707/99943Y10S707/99944Y10S707/99945
    • A Relational Database Management System (RDBMS) having any arbitrary structure is translated into a multi-dimensional data model suitable for performing OLAP operations upon. If a relational table defining the relational model includes any tables with cardinality of 1,1 or 0,1, the tables are merged into a single table. If the relational table is not normalized, then normalization is performed and a relationship between the original table and the normalized table is created. If the relational table is normalized, but not by dependence between columns, such as in the dimension table in a snowflake schema, the normalization process is performed using the foreign key in order to generate the normalized table. Once the normalized table is generated, OLAP measures are derived from the normalized relational table by an automated method. In addition, OLAP dimensions are derived from the normalized relational table and the results of the OLAP measures derivation by an automated method according to the present invention. According to an aspect, it is possible to associate a member of a dimension to another member of the same or another dimension. According to another aspect, it is possible to create a new dimension of analysis, the members of which are all the different values that a scalar expression can take on. According to yet another aspect, it is possible to access the various instances of a Reporting Object as members in an OLAP dimension. According to the yet another aspect, it is possible to apply opaque filters or a combination of them to the data that underlies analysis.
    • 具有任意结构的关系数据库管理系统(RDBMS)被翻译成适用于执行OLAP操作的多维数据模型。 如果定义关系模型的关系表包含基数为1,1或0,1的任何表,则表被合并到单个表中。 如果关系表未被归一化,则执行归一化,并且创建原始表与归一化表之间的关系。 如果关系表被归一化,而不是列之间的依赖,例如在雪花模式的维度表中,则使用外键执行归一化过程以生成归一化表。 一旦生成了规范化表,就可以通过自动化方法从归一化关系表导出OLAP度量。 另外,从归一化关系表导出OLAP维度,并且通过根据本发明的自动化方法推导OLAP测量结果。 根据一个方面,可以将尺寸的构件与相同或另一维度的另一个构件相关联。 根据另一方面,可以创建分析的新维度,其成员是标量表达式可以承担的所有不同的值。 根据另一方面,可以将报告对象的各种实例作为OLAP维度中的成员访问。 根据另一方面,可以将不透明滤光片或它们的组合应用于基于分析的数据。