Automated ontology evolution for an E-commerce recommender

Abstract

This research proposes an automated OWL product domain ontology (PDO) evolution by enhancing an existing ontology evolution concept. Its manual activities are eliminated by formulating an adaptation strategy for the conceptual aspects of an automated PDO evolution and establishing a feedback cycle. The adaptation strategy was validated/ firstly “instantiated” by applying it to a realworld conversational content-based e-commerce recommender as use case.