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Semi-automated data-driven methods to support ontology development: a case study on a rehabilitation therapy ontology

Lookup NU author(s): Mohammad Halawani, Dr Rob ForsythORCiD, Dr Phillip Lord



This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Copyright © 2019 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).Ontology development is expensive and requires significant efforts from both domain experts and ontologists. Automating the process usually produces unsatisfactory results and involves knowledge acquisition, which is intrinsically hard. In this abstract, we are investigating semi-automated techniques for bootstrapping and and supporting data-driven ontology development. Rehabilitation therapies are hard to describe, measure and compare; unlike pharmacologic therapies, they are not precisely defined. This brings an interesting ontological challenge, because rehabilitation treatments are practice-based, diverse and involve interactions between a therapist, a patient and their environment. Therefore, we are using the domain of rehabilitation as a case study to build a rehabilitation therapy ontology (RTO). Here, we are proposing a pipeline for building semantic knowledge structures to support developing ontologies from biomedical literature. The pipeline starts with an initial small set of articles provided by experts in the domain. This requires relatively little from the domain expert, beyond a set of references to appropriate papers, something that most researchers will have through their normal bibliography management facilities.

Publication metadata

Author(s): Halawani MK, Forsyth R, Lord P

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 12th International Conference on Semantic Web Applications and Tools for Health Care and Life Sciences SWAT4HCLS 2019

Year of Conference: 2019

Pages: 131-132

Online publication date: 11/04/2026

Acceptance date: 02/04/2018

Date deposited: 28/04/2021

Publisher: CEUR-WS


Series Title: CEUR Workshop Proceedings