Patent Document ID: 10152526
Application ID: 13861058

Base Claim:
1. A method for generating and utilizing synthetic context-based objects, the method comprising: defining, by one or more processors, a context object, wherein the context object comports with at least one constraint that defines a scope and bound of the context object; associating, by one or more processors, a non-contextual data object with the context object to define a synthetic context-based object, wherein the non-contextual data object ambiguously relates to multiple subject-matters, wherein the context object provides a descriptor of the non-contextual data object, wherein the descriptor is not part of the non-contextual data object, and wherein the context object provides a context that identifies a specific subject-matter, from the multiple subject-matters, of the non-contextual data object; associating, by one or more processors, the synthetic context-based object with at least one specific data store, wherein said at least one specific data store is a data repository of data that is relevant to the context of the synthetic context-based object, wherein the specific subject-matter for said at least one specific data store in a data structure overlaps a subject-matter of another data store in the data structure, and wherein the synthetic context-based object is mapped to multiple data stores such that there is a one-to-many relationship between the synthetic context-based object and the multiple data stores; receiving, from a requester, a request for data from said at least one specific data store that is associated with the synthetic context-based object, wherein said at least one specific data store is within a database of multiple data stores; and returning, to the requester, data from said at least one specific data store that is associated with the synthetic context-based object.

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Claim 2:
2. The method of claim 1 , further comprising: data mining, by one or more processors, the data structure for the non-contextual data object and the context object, wherein said data mining locates said at least one specific data store that comprises data contained in both the non-contextual data object and the context object.