Automatic combination and mapping of text-mining services

摘要

Embodiments of systems and methods for automatic combination of text mining services, may comprise an instance generation component and an auto-mapping component. From common text sources, the instance generation component generates instances for taxonomy elements attached to a particular text mining service. These instances are then forwarded to the auto-mapping component, which computes a mapping between different taxonomies. This mapping may be saved to avoid repeated instance generation and mapping processes for similar taxonomies. The computed mapping may in turn be input to a result combiner element, together with extraction results from calling the different text mining services. The result combiner returns the merged result sets to the execution, and finally to the user or API.

主权项

1. A computer-implemented method of combining text mining services that rely upon different taxonomies, the method comprising:
applying 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 to generate a plurality of instances of an entity type of the first taxonomy; applying 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; utilizing the plurality of instances of the first taxonomy and the plurality of instances of the second taxonomy to construct an instance-matching procedure; applying the first text mining service to a target text document smaller than the knowledge base to produce a plurality of first taxonomy entity types; applying the second text mining service to the target text document to produce a plurality of second taxonomy entity types; creating 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; using 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 displaying the merged result to a user.