Business intelligence language type representing result structure

    公开(公告)号:US11036730B2

    公开(公告)日:2021-06-15

    申请号:US15383058

    申请日:2016-12-19

    Abstract: According to some embodiments, a business intelligence data store contains semantic layer information. A business intelligence language platform may receive a business intelligence language query expression from a user. The business intelligence language platform may then access the mapping information in the business intelligence model data store to compute an output type describing a result structure entity for the query expression. According to some embodiments, the output type may be used to automatically recommend at least one visualization chart to the user. Moreover, in some embodiments the output type is annotated with meta-data information about a business object.

    KNOWLEDGE-DRIVEN GENERATION OF SEMANTIC LAYER

    公开(公告)号:US20180121424A1

    公开(公告)日:2018-05-03

    申请号:US15342544

    申请日:2016-11-03

    CPC classification number: G06N5/022 G06F16/22

    Abstract: A system includes acquisition of data from a first data source, identification of logical entities of a first data model of the first data source based on the data of the first data source, identification, for one or more of the logical entities of the first data model, of a respective knowledge vault entity described by first metadata, and generation of second metadata describing a plurality of semantic layer entities, the second metadata describing a semantic layer entity comprising at least one semantic attribute of a knowledge vault entity corresponding to the semantic layer entity.

    Knowledge-driven generation of semantic layer

    公开(公告)号:US10997504B2

    公开(公告)日:2021-05-04

    申请号:US15342544

    申请日:2016-11-03

    Abstract: A system includes acquisition of data from a first data source, identification of logical entities of a first data model of the first data source based on the data of the first data source, identification, for one or more of the logical entities of the first data model, of a respective knowledge vault entity described by first metadata, and generation of second metadata describing a plurality of semantic layer entities, the second metadata describing a semantic layer entity comprising at least one semantic attribute of a knowledge vault entity corresponding to the semantic layer entity.

    Business intelligence language macros

    公开(公告)号:US10460277B2

    公开(公告)日:2019-10-29

    申请号:US15378381

    申请日:2016-12-14

    Abstract: According to some embodiments, a business intelligence language expansion and compilation platform may receive a business intelligence language expression, containing at least one macro sub-expression from a user. Information may then be accessed in a business and data models data store to perform expansion and compilation operations on the received business intelligence language expression. As a result of these operations, the system may provide a native query to a data source database. A business intelligence language result set manager may retrieve data from a data source database responsive to the native query and output a business intelligence language result set to the user in response to the business intelligence language expression. According to some embodiments, the business intelligence language is reentrant such that the received business intelligence language expression is evaluated in one context and uses a result of another business intelligence language expression evaluated in a possibly different context.

Patent Agency Ranking