Automated Ontology Evolution as a Basis for Adaptive Interactive Systems

research presented in this paper aims at realising an automated ontology evolution process based on feedback without a human inspection. For that, a generic adaptation strategy consisting of a feedback transformation strategy and an ontology evolution strategy is formulated. It decides when and how to evolve by evaluating the impact of the evolution in the precedent feedback cycle. These strategies are implemented in a feedback transformer component and an adaptation manager component respectively, constituting a new adaptation layer. The adaptive ontology is evaluated with an experiment and validated with a real-world conversational content-based e-commerce recommender system as use case.

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