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

Isabel Funke, Rim Helaoui, Aki Härmä


Abstract
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.
Anthology ID:
W18-6559
Volume:
Proceedings of the 11th International Conference on Natural Language Generation
Month:
November
Year:
2018
Address:
Tilburg University, The Netherlands
Editors:
Emiel Krahmer, Albert Gatt, Martijn Goudbeek
Venue:
INLG
SIG:
SIGGEN
Publisher:
Association for Computational Linguistics
Note:
Pages:
478–479
Language:
URL:
https://aclanthology.org/W18-6559
DOI:
10.18653/v1/W18-6559
Bibkey:
Cite (ACL):
Isabel Funke, Rim Helaoui, and Aki Härmä. 2018. Interactive health insight miner: an adaptive, semantic-based approach. In Proceedings of the 11th International Conference on Natural Language Generation, pages 478–479, Tilburg University, The Netherlands. Association for Computational Linguistics.
Cite (Informal):
Interactive health insight miner: an adaptive, semantic-based approach (Funke et al., INLG 2018)
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PDF:
https://preview.aclanthology.org/naacl-24-ws-corrections/W18-6559.pdf