Abstract: In some embodiments, a data harmonization system can organize, classify, analyze and thus relate previously unrelated data stored in multiple databases and/or associated with different organizations. In such embodiments, the data harmonization system can relate such previously unrelated data sets to, for example, track trends, exceptions, inconsistencies, location, etc. such that determinations can be made based on such different and/or previously unrelated data sets. In such embodiments, the data harmonization system can be used to harmonize both structured data and/or unstructured data based on concept-based analysis.
Abstract: In one embodiment, a method comprises defining a set of concepts based on a first set of structured and unstructured data objects, defining a business rule based on the set of concepts, applying the business rule to a second set of structured and unstructured data objects to make a determination associated with that set, and outputting to a display information associated with the determination.
Abstract: In one embodiment, a method comprises defining a set of concepts based on a first set of structured and unstructured data objects, defining a business rule based on the set of concepts, applying the business rule to a second set of structured and unstructured data objects to make a determination associated with that set, and outputting to a display information associated with the determination.
Abstract: A method, operating model, system, data structure, computer program and computer program product for analyzing and categorizing and exploring or querying unstructured information and for tracking trends and exceptions. Method for analytical processing of unstructured objects in a dimensional space. Method for tracking trends in concepts. Method for tracking exceptions in concepts. Tools and interface for displaying concepts, query results, tracked trends and exceptions.
Type:
Grant
Filed:
April 13, 2016
Date of Patent:
July 31, 2018
Assignee:
uReveal, Inc.
Inventors:
Rengaswamy Mohan, Usha Mohan, David D. Sha