Abstract: A method for expanding an initial ontology via processing of communication data, wherein the initial ontology is a structural representation of language elements comprising a set of entities, a set of terms, a set of term-entity associations, a set of entity-association rules, a set of abstract relations, and a set of relation instances. A method for extracting a set of significant phrases and a set of significant phrase co-occurrences from an input set of documents further includes utilizing the terms to identify relations within the training set of communication data, wherein a relation is a pair of terms that appear in proximity to one another.

Abstract: A computer system coupled to a database is configured to receive a database query, and evaluate a set of records from a database based on the database query. The database comprises a plurality of records, and each record comprises text translated from audio. The system then determines a plurality of measurement terms based on the database query, and processes at least a portion of the text of at least one record of the database to determine a quality of the database query based on the occurrences of the measurement terms within the portion of text, and performs an action based on the quality of the database query.