发明名称 Conformed dimensional and context-based data gravity wells
摘要 A processor-implemented method, system, and/or computer program product defines multiple context-based conformed dimensional data gravity wells on a context-based conformed dimensional data gravity wells membrane. Conformed dimensional objects and synthetic context-based objects are parsed into n-tuples. A virtual mass of each parsed object is calculated, in order to define a shape of the multiple context-based conformed dimensional data gravity wells that are created when data objects that are pulled into each of the context-based conformed dimensional data gravity well frameworks on a context-based conformed dimensional gravity wells membrane.
申请公布号 US9251246(B2) 申请公布日期 2016.02.02
申请号 US201514607468 申请日期 2015.01.28
申请人 International Business Machines Corporation 发明人 Adams Samuel S.;Friedlander Robert R.;Kraemer James R.;Linton Jeb R.
分类号 G06F17/30 主分类号 G06F17/30
代理机构 Law Office of Jim Boice 代理人 Pivnichny John R.;Law Office of Jim Boice
主权项 1. A processor-implemented method of defining multiple context-based conformed dimensional data gravity wells on a context-based conformed dimensional data gravity wells membrane, the processor-implemented method comprising: receiving, by a processor, a data stream of non-contextual data objects, wherein each of the non-contextual data objects is a numerical value that ambiguously relates to multiple subject-matters; associating, by the processor, one of the non-contextual data objects with a context object to define a synthetic context-based object, wherein the context object provides a context that identifies a specific subject-matter, from the multiple subject-matters, of said one of the non-contextual data objects; receiving, by the processor, a data stream of non-dimensional data objects; applying, by the processor, a dimension object to one of the non-dimensional data objects to define a conformed dimensional object; parsing, by the processor, the conformed dimensional object into a dimensional n-tuple, wherein the dimensional n-tuple comprises a pointer to one of the non-dimensional data objects and a probability that one of the non-dimensional data objects has been associated with a correct dimensional label; parsing, by the processor, the synthetic context-based object into a context-based n-tuple, wherein the context-based n-tuple comprises a pointer to one of the non-contextual data objects and a probability that a non-contextual data object has been associated with a correct context object; calculating, by the processor, a virtual mass of a parsed synthetic context-based object based on a probability that the non-contextual data object has been associated with a correct context object; calculating, by the processor, a virtual mass of a parsed conformed dimensional object based on a probability that one of the non-dimensional data objects has come from a data source whose data has been predetermined to be appropriate for storage in a particular dimensional data gravity well; creating, by the processor, multiple context-based conformed dimensional data gravity well frameworks on a context-based conformed dimensional data gravity wells membrane, wherein each of the multiple context-based conformed dimensional data gravity well frameworks comprises at least one non-contextual data object, at least one context object, and at least one dimension object, and wherein the context-based conformed dimensional data gravity wells membrane is a virtual mathematical membrane that is capable of supporting multiple context-based conformed dimensional data gravity wells; transmitting, by the processor, multiple parsed synthetic context-based objects and multiple parsed conformed dimensional objects to the context-based conformed dimensional data gravity wells membrane; and defining, by the processor, multiple context-based conformed dimensional data gravity wells according to the virtual mass of multiple parsed synthetic context-based objects and the virtual mass of multiple parsed conformed dimensional objects that are pulled into each of the context-based conformed dimensional data gravity well frameworks, wherein each of the multiple parsed synthetic context-based objects and multiple parsed conformed dimensional objects is pulled into a particular context-based conformed dimensional data gravity well in response to values from its n-tuple matching said at least one context object or said at least one dimension object in said particular context-based conformed dimensional data gravity well.
地址 Armonk NY US