Interactive health insight miner: an adaptive, semantic-based approach

WS 2018  ·  Isabel Funke, Rim Helaoui, Aki H{\"a}rm{\"a} ·

E-health applications aim to support the user in adopting healthy habits. An important feature is to provide insights into the user{'}s lifestyle. To actively engage the user in the insight mining process, we propose an ontology-based framework with a Controlled Natural Language interface, which enables the user to ask for specific insights and to customize personal information.

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