Ontology Learning from Clinical Practice Guidelines

Samia Sbissi, Mariem Mahfoudh, Said Gattoufi

2019

Abstract

In order to assist professionals and doctors to make decisions about appropriate health care for patients who are at risk of cardiovascular disease, we propose a decision support system based on OWL (Ontology Language Web) ontology with SWRL (semantic web rule language) rules. The idea consists to parse clinical practice guidelines (i.e. documents that contain recommendations and medical knowledges) to enrich and exploit existing cardiovascular domain ontology. The enrichment process is conducted by ontology learning task. We first pre-process the text and extract the relevant concepts. Then, we enrich the ontology not only by OWL DL axioms, but also SWRL rules. To identify the similarity between terms texts and ontology concepts, we have used a combination of methods as levenshtein similarity and Word2Vec.

Paper Citation

in Harvard Style

Sbissi S., Mahfoudh M. and Gattoufi S. (2019). Ontology Learning from Clinical Practice Guidelines. In Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019) - Volume 2: KEOD; ISBN 978-989-758-382-7, SciTePress, pages 312-319. DOI: 10.5220/0008169903120319

in Bibtex Style

@conference{keod19,
author={Samia Sbissi and Mariem Mahfoudh and Said Gattoufi},
title={Ontology Learning from Clinical Practice Guidelines},
booktitle={Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019) - Volume 2: KEOD},
year={2019},
pages={312-319},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008169903120319},
isbn={978-989-758-382-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019) - Volume 2: KEOD
TI - Ontology Learning from Clinical Practice Guidelines
SN - 978-989-758-382-7
AU - Sbissi S.
AU - Mahfoudh M.
AU - Gattoufi S.
PY - 2019
SP - 312
EP - 319
DO - 10.5220/0008169903120319
PB - SciTePress