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    • 21. 发明授权
    • Populating a multi-relational enterprise social network with disparate source data
    • 用不同的源数据填充多关系企业社交网络
    • US08700560B2
    • 2014-04-15
    • US12253562
    • 2008-10-17
    • Ricardo Polo-MalouvierBruno Dumant
    • Ricardo Polo-MalouvierBruno Dumant
    • G06F17/30
    • G06Q10/10
    • Some aspects include association of fields of a data source with one or more entity identities, one or more relation identities, and one or more attributes corresponding, respectively, to entity identities, relation identities and facet attributes defined in metadata of an enterprise social network, and reception of data from the data source. Also included is a determination, based on the data and the associated fields of the data source, of one or more source entities, one or more source entity identities associated with each of the one or more source entities, one or more source relations, one or more source relation identities associated with each of the one or more source relations, and one or more source facets associated with one or more source entities or source relations.For each determined source entity, it is determined if any of the one or more associated source entity identities is identical to an entity identity of the enterprise social network. A new entity is created in the enterprise social network corresponding to the determined source entity if it is determined that none of the one or more associated source entity identities is identical to an entity identity of the enterprise social network, and, if it is determined that one or more associated source entity identities is identical to an entity identity of the enterprise social network, the enterprise social network is updated with one or more source facets associated with the determined source entity.
    • 一些方面包括数据源的字段与一个或多个实体标识的关联,一个或多个关系标识以及分别对应于在企业社会网络的元数据中定义的实体标识,关系标识和面属性的一个或多个属性, 以及从数据源接收数据。 还包括基于数据源的数据和相关字段的一个或多个源实体的确定,与一个或多个源实体中的每一个相关联的一个或多个源实体标识,一个或多个源关系,一个 或更多的源关系身份与一个或多个源关系中的每一个关联,以及与一个或多个源实体或源关系相关联的一个或多个源面。 对于每个确定的源实体,确定一个或多个相关源实体身份中的任何一个是否与企业社交网络的实体身份相同。 如果确定一个或多个相关联的源实体标识不与企业社交网络的实体身份相同,则在与所确定的源实体相对应的企业社交网络中创建新实体,并且如果确定 一个或多个相关联的源实体身份与企业社交网络的实体身份相同,企业社交网络被更新为与所确定的源实体相关联的一个或多个源面。
    • 25. 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
    • US07664777B2
    • 2010-02-16
    • US11671443
    • 2007-02-05
    • 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。