ONTOLOGY EXPANSION USING ENTITY-ASSOCIATION RULES AND ABSTRACT RELATIONS

摘要

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.

主权项

1. A method for refining 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, the method comprising:
providing the initial ontology; providing a training set of communication data; processing the training set of communication data to extract significant phrases and significant phrase pairs from within the training set of communication data, creating new abstract relations based on the significant phrase pairs; creating new relation instances that correspond to the significant term pairs; storing the significant phrases as ontology terms ontology and associating an entity for the added terms; storing the new relation instances and new abstract relations to the initial ontology.