13. A computer system configured to combine text mining services that rely upon different taxonomies, the computer system comprising: one or more processors; a software program, executable on said computer system, the software program configured to: apply a first text mining service relying upon a first taxonomy, to a knowledge base comprising a plurality of documents according to a first iterative instance generation process in order to generate a plurality of instances of an entity type of the first taxonomy; apply a second text mining service relying upon a second taxonomy, to the knowledge base according to a second iterative instance generation process to generate a plurality of instances of an entity type of the second taxonomy; utilize the plurality of instances of the first taxonomy and the plurality of instances of the second taxonomy to construct an instance-matching procedure; apply the first text mining service to a target text document smaller than the knowledge base to produce a plurality of first taxonomy entity types; apply the second text mining service to the target text document to produce a plurality of second taxonomy entity types; create a mapping of the plurality of first taxonomy entity types to the plurality of the second taxonomy entity types based at least in part on the instance-matching procedure; use the mapping to create a merged result that compares a result of applying the first text mining service to the target text document, with a result of applying the second text mining service to the target text document; and display the merged result to a user.
13. A computer system configured to combine text mining services that rely upon different taxonomies, the computer system comprising: one or more processors; a software program, executable on said computer system, the software program configured to: apply a first text mining service relying upon a first taxonomy, to a knowledge base comprising a plurality of documents according to a first iterative instance generation process in order to generate a plurality of instances of an entity type of the first taxonomy; apply a second text mining service relying upon a second taxonomy, to the knowledge base according to a second iterative instance generation process to generate a plurality of instances of an entity type of the second taxonomy; utilize the plurality of instances of the first taxonomy and the plurality of instances of the second taxonomy to construct an instance-matching procedure; apply the first text mining service to a target text document smaller than the knowledge base to produce a plurality of first taxonomy entity types; apply the second text mining service to the target text document to produce a plurality of second taxonomy entity types; create a mapping of the plurality of first taxonomy entity types to the plurality of the second taxonomy entity types based at least in part on the instance-matching procedure; use the mapping to create a merged result that compares a result of applying the first text mining service to the target text document, with a result of applying the second text mining service to the target text document; and display the merged result to a user. 18. The computer system of claim 13 further comprising using a mapping rewriting technique to revise the mapping.