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

Isabel Funke; Rim Helaoui; Aki Härmä

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

Isabel Funke, Rim Helaoui, Aki Härmä

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review

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.

Original language	English
Title of host publication	INLG 2018 - 11th International Natural Language Generation Conference, Proceedings of the Conference
Publisher	Association for Computational Linguistics (ACL)
Pages	478-479
Number of pages	2
ISBN (Electronic)	9781948087865
Publication status	Published - 2018
Externally published	Yes
Event	The 11th International Conference on Natural Language Generation - Tilburg University, Tilburg, Netherlands Duration: 5 Nov 2018 → 8 Nov 2018 Conference number: 11 https://inlg2018.uvt.nl/

Conference

Conference	The 11th International Conference on Natural Language Generation
Abbreviated title	INLG 2018
Country/Territory	Netherlands
City	Tilburg
Period	5/11/18 → 8/11/18
Internet address	https://inlg2018.uvt.nl/

Cite this

@inproceedings{dbe0c44f88ff48ec8528d740b7dde59e,

title = "Interactive health insight miner: An adaptive, semantic-based approach",

abstract = "E-health applications aim to support the user in adopting healthy habits. An important feature is to provide insights into the user{\textquoteright}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.",

author = "Isabel Funke and Rim Helaoui and Aki H{\"a}rm{\"a}",

note = "Publisher Copyright: {\textcopyright} 2018 Association for Computational Linguistics; The 11th International Conference on Natural Language Generation, INLG 2018 ; Conference date: 05-11-2018 Through 08-11-2018",

year = "2018",

language = "English",

pages = "478--479",

booktitle = "INLG 2018 - 11th International Natural Language Generation Conference, Proceedings of the Conference",

publisher = "Association for Computational Linguistics (ACL)",

address = "United States",

url = "https://inlg2018.uvt.nl/",

}

Funke, I, Helaoui, R & Härmä, A 2018, Interactive health insight miner: An adaptive, semantic-based approach. in INLG 2018 - 11th International Natural Language Generation Conference, Proceedings of the Conference. Association for Computational Linguistics (ACL), pp. 478-479, The 11th International Conference on Natural Language Generation, Tilburg, Netherlands, 5/11/18.

Interactive health insight miner: An adaptive, semantic-based approach. / Funke, Isabel; Helaoui, Rim; Härmä, Aki.
INLG 2018 - 11th International Natural Language Generation Conference, Proceedings of the Conference. Association for Computational Linguistics (ACL), 2018. p. 478-479.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review

TY - GEN

T1 - Interactive health insight miner

T2 - The 11th International Conference on Natural Language Generation

AU - Funke, Isabel

AU - Helaoui, Rim

AU - Härmä, Aki

N1 - Conference code: 11

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85087183060&partnerID=8YFLogxK

M3 - Conference article in proceeding

AN - SCOPUS:85087183060

SP - 478

EP - 479

BT - INLG 2018 - 11th International Natural Language Generation Conference, Proceedings of the Conference

PB - Association for Computational Linguistics (ACL)

Y2 - 5 November 2018 through 8 November 2018

ER -

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

Abstract

Conference

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