Automated ontology evolution for an E-commerce recommender

Abstract

This research proposes a completely 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. This strategy decides when and how to evolve by evaluating the impact of the evolution in the precedent feedback cycle and is implemented in a new adaptation layer. The adaptation strategy was validated/ firstly "instantiated" by applying it to a real-world conversational content-based e-commerce recommender as use case. © 2011 Springer-Verlag.