1. A processor-implemented method for generating and utilizing a synthetic context-based object to locate a user-specific data store, the processor-implemented method comprising: associating, by a processor, a non-contextual data object with a context object to define a synthetic context-based object, wherein the non-contextual data object ambiguously relates to multiple subject-matters, wherein data within the non-contextual data object has no meaning until said data is matched to a specific context object from a context object database, wherein the context object provides a context that identifies a specific subject-matter, from the multiple subject-matters, of the non-contextual data object, and wherein the context object that is associated with the non-contextual data object is selected from a plurality of context objects stored in the context object database; associating, by the processor, the synthetic context-based object with at least one specific data store, wherein said at least one specific data store comprises data that is associated with data contained in the non-contextual data object and the context object, wherein said at least one specific data store is from a heterogeneous data structure wherein the heterogeneous data structure contains data stores that are in different formats; matching, by the processor, the at least one specific data store to the synthetic context-based object in response to the at least one specific data store and the synthetic context-based object each containing the non-contextual data object and the context object; determining, by the processor, a subject-matter of interest for a specific user; associating, by the processor, the subject-matter of interest to a specific synthetic context-based object, wherein the specific synthetic context-based object is associated with data that describes the subject-matter of interest for the specific user; further determining, by the processor, the subject-matter of interest for the specific user by data mining a database that describes current interests of the specific user; constructing, by the processor, multiple avatars that represent multiple subject-matters of interest; displaying, by the processor, the multiples avatars on a user interface; further determining, by the processor, the subject-matter of interest for the specific user by receiving a selection of a specific avatar from the specific user, wherein the specific avatar is associated with the subject-matter of interest for the specific user; receiving, from the specific user, a request for data from at least one data store that is associated with the subject-matter of interest that has been determined for the specific user; directing, by the processor, the request to the specific synthetic context-based object that is associated with data that describes the subject-matter of interest for the specific user based on the at least one s ecific data store and the synthetic context-based object each containing the non-contextual data object and the context object and based on the specific avatar that is selected by the user; locating, via the specific synthetic context-based object, said at least one specific data store that is associated with the subject-matter of interest; and returning, by the processor, data from said at least one specific data store that is associated with the subject-matter of interest to the specific user.
1. A processor-implemented method for generating and utilizing a synthetic context-based object to locate a user-specific data store, the processor-implemented method comprising: associating, by a processor, a non-contextual data object with a context object to define a synthetic context-based object, wherein the non-contextual data object ambiguously relates to multiple subject-matters, wherein data within the non-contextual data object has no meaning until said data is matched to a specific context object from a context object database, wherein the context object provides a context that identifies a specific subject-matter, from the multiple subject-matters, of the non-contextual data object, and wherein the context object that is associated with the non-contextual data object is selected from a plurality of context objects stored in the context object database; associating, by the processor, the synthetic context-based object with at least one specific data store, wherein said at least one specific data store comprises data that is associated with data contained in the non-contextual data object and the context object, wherein said at least one specific data store is from a heterogeneous data structure wherein the heterogeneous data structure contains data stores that are in different formats; matching, by the processor, the at least one specific data store to the synthetic context-based object in response to the at least one specific data store and the synthetic context-based object each containing the non-contextual data object and the context object; determining, by the processor, a subject-matter of interest for a specific user; associating, by the processor, the subject-matter of interest to a specific synthetic context-based object, wherein the specific synthetic context-based object is associated with data that describes the subject-matter of interest for the specific user; further determining, by the processor, the subject-matter of interest for the specific user by data mining a database that describes current interests of the specific user; constructing, by the processor, multiple avatars that represent multiple subject-matters of interest; displaying, by the processor, the multiples avatars on a user interface; further determining, by the processor, the subject-matter of interest for the specific user by receiving a selection of a specific avatar from the specific user, wherein the specific avatar is associated with the subject-matter of interest for the specific user; receiving, from the specific user, a request for data from at least one data store that is associated with the subject-matter of interest that has been determined for the specific user; directing, by the processor, the request to the specific synthetic context-based object that is associated with data that describes the subject-matter of interest for the specific user based on the at least one s ecific data store and the synthetic context-based object each containing the non-contextual data object and the context object and based on the specific avatar that is selected by the user; locating, via the specific synthetic context-based object, said at least one specific data store that is associated with the subject-matter of interest; and returning, by the processor, data from said at least one specific data store that is associated with the subject-matter of interest to the specific user. 3. The processor-implemented method of claim 1 , further comprising: determining the subject-matter of interest for the specific user by data mining a database that describes an educational background of the specific user.