Automated Ontology Evolution as a Basis for User- Adaptive Recommender Interfaces

This research proposes an automated OWL product domain ontology (PDO) evolution (without a human inspection) based on given user feedback and 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 consists of a feedback transformation strategy and a PDO evolution strategy and decides when and how to evolve by evaluating the impact of the evolution on the application. An evolution heuristic and evolution strategies are utilised. The adaptation strategy was validated/ firstly “instantiated” by applying it to a real-world conversational content-based ecommerce recommender system as use case. The evolved PDO is going to be evaluated with an experiment and validated with the use case as well.