Context-based data gravity wells

A computer program product for defining multiple context-based data gravity wells on a context-based data gravity wells membrane, wherein the context-based data gravity wells membrane is a mathematical framework for a data structure, the computer program product comprising a computer readable storage medium having program code embodied therewith, the program code readable and executable by a processor to perform a method comprising:

• receiving a data stream of non-contextual data objects, wherein each of the non-contextual data objects ambiguously relates to multiple subject-matters;
• associating 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;
• parsing the synthetic context-based object into an n-tuple, wherein the n-tuple comprises a pointer to said one of the non-contextual data objects, a probability that a non-contextual data object has been associated with a correct context object, and a weighting factor of importance of the synthetic context-based object;
• calculating a virtual mass of a parsed synthetic context-based object, wherein the virtual mass of the parsed synthetic context-based object is derived from a formula of:
• P(C)×Wt(S),
• where P(C) is the probability that the non-contextual data object has been associated with the correct context object, and where Wt(S) is the weighting factor of importance of the synthetic context-based object;
• creating multiple context-based data gravity well frameworks on a context-based data gravity wells membrane, wherein each of the multiple context-based data gravity well frameworks comprises at least one non-contextual data object and at least one context object, and wherein the context-based data gravity wells membrane is a virtual mathematical membrane that is capable of supporting multiple context-based data gravity wells;
• transmitting multiple parsed synthetic context-based objects to the context-based data gravity wells membrane;
• and
• defining multiple context-based data gravity wells according to the virtual mass of multiple parsed synthetic context-based objects that are pulled into each of the context-based data gravity well frameworks, wherein each of the multiple parsed synthetic context-based objects is pulled into a particular context-based data gravity well in response to values from its n-tuple matching said at least one non-contextual data object and said at least one context object in said particular context-based data gravity well.

A computer system comprising:

• a processor, a computer readable memory, and a computer readable storage medium;
• first program instructions to receive a data stream of non-contextual data objects, wherein each of the non-contextual data objects ambiguously relates to multiple subject-matters;
• second program instructions to associate 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;
• third program instructions to parse the synthetic context-based object into an n-tuple, wherein the n-tuple comprises a pointer to said one of the non-contextual data objects, a probability that a non-contextual data object has been associated with a correct context object, and a weighting factor of importance of the synthetic context-based object;
• fourth program instructions to calculate a virtual mass of a parsed synthetic context-based object, wherein the virtual mass of the parsed synthetic context-based object is derived from a formula of:
• P(C)×Wt(S),
• where P(C) is the probability that the non-contextual data object has been associated with the correct context object, and where Wt(S) is the weighting factor of importance of the synthetic context-based object;
• fifth program instructions to create multiple context-based data gravity well frameworks on a context-based data gravity wells membrane, wherein the context-based data gravity wells membrane is a mathematical framework for a data structure, wherein each of the multiple context-based data gravity well frameworks comprises at least one non-contextual data object and at least one context object, and wherein the context-based data gravity wells membrane is a virtual mathematical membrane that is capable of supporting multiple context-based data gravity wells;
• sixth program instructions to transmit multiple parsed synthetic context-based objects to the context-based data gravity wells membrane;
• and
• seventh program instructions to define multiple context-based data gravity wells according to the mass of multiple parsed synthetic context-based objects that are pulled into each of the context-based data gravity well frameworks, wherein each of the multiple parsed synthetic context-based objects is pulled into a particular context-based data gravity well in response to values from its n-tuple matching said at least one non-contextual data object and said at least one context object in said particular context-based data gravity well;
• and wherein
• the first, second, third, fourth, fifth, sixth, and seventh program instructions are stored on the computer readable storage medium for execution by the processor via the computer readable memory.