发明名称 Generation of metadata and computational model for visual exploration system
摘要 Various mechanisms are described for generating metadata describing relationships among data sets. Quantitative data can be analyzed to determine relationships, and metadata representing the determined relationships can then be stored. Visualizations can then be generated from the metadata, and a navigational model can be defined based on the generated set of visualizations. The navigational models can provide robust visual mechanics for implementing intuitive navigational schemes that facilitate interaction with data on any suitable output device, include small screens as found on smartphones and/or tablets.
申请公布号 US9152695(B2) 申请公布日期 2015.10.06
申请号 US201414468925 申请日期 2014.08.26
申请人 Intelati, Inc. 发明人 Tibrewal Pankaj;Pitten Jeremy;Schang Thierry;Alur Deepak
分类号 G06F3/048;G06F17/30;G06F3/0481;G06F3/0484 主分类号 G06F3/048
代理机构 Raubvogel Law Office 代理人 Raubvogel Law Office
主权项 1. A computer-implemented method for generating metadata describing relationships among data sets comprising: at a hardware processor, receiving quantitative data comprising a plurality of columns of data; at the hardware processor, analyzing the quantitative data to determine hierarchical relationships among the columns of data based at least in part on at least one selected from the group consisting of: previous actions by a particular user;previous actions by other user's associated with the particular user; andprevious actions by all users; and storing, at a storage device, metadata representing the determined hierarchical relationships; wherein each column comprises a plurality of rows, and wherein analyzing the quantitative data to determine hierarchical relationships among the columns of data comprises, for at least one pair of columns: establishing a mapping of a first column to a second column; establishing a mapping of the second column to the first column; determining the number of unique values in the first column; determining the number of unique values in the second column; for each unique value in the first column, determine a first set of different unique values in the second column; for each unique value in the second column, determine a second set of different unique values in the first column; and identifying relationships based on the determined first and second sets.
地址 Palo Alto CA US