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Authors: Samia Sbissi 1 ; Mariem Mahfoudh 2 and Said Gattoufi 1

Affiliations: 1 SMART Laboratory, Tunis University, Tunis and Tunisia ; 2 MIRACL Laboratory, University of Sfax, Sfax, Tunisia, ISIGK, University of Kairouan, Kairouan and Tunisia

Keyword(s): Ontology Learning, Ontology Enrichment, SWRL, Word2Vec.

Related Ontology Subjects/Areas/Topics: Applications ; Artificial Intelligence ; Data Engineering ; Enterprise Information Systems ; Information Systems Analysis and Specification ; Knowledge Engineering and Ontology Development ; Knowledge Representation ; Knowledge-Based Systems ; Natural Language Processing ; Ontologies and the Semantic Web ; Ontology Engineering ; Ontology Sharing and Reuse ; Pattern Recognition ; Symbolic Systems

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.

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Paper citation in several formats:
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) - KEOD; ISBN 978-989-758-382-7; ISSN 2184-3228, SciTePress, pages 312-319. DOI: 10.5220/0008169903120319

@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) - KEOD},
year={2019},
pages={312-319},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008169903120319},
isbn={978-989-758-382-7},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2019) - KEOD
TI - Ontology Learning from Clinical Practice Guidelines
SN - 978-989-758-382-7
IS - 2184-3228
AU - Sbissi, S.
AU - Mahfoudh, M.
AU - Gattoufi, S.
PY - 2019
SP - 312
EP - 319
DO - 10.5220/0008169903120319
PB - SciTePress