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Ontology-Driven Search and Triage: Design of a Web-Based Visual Interface for MEDLINE

BACKGROUND: Diverse users need to search health and medical literature to satisfy open-ended goals such as making evidence-based decisions and updating their knowledge. However, doing so is challenging due to at least two major difficulties: (1) articulating information needs using accurate vocabula...

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Detalles Bibliográficos
Autores principales: Demelo, Jonathan, Parsons, Paul, Sedig, Kamran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5314102/
https://www.ncbi.nlm.nih.gov/pubmed/28153818
http://dx.doi.org/10.2196/medinform.6918
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author Demelo, Jonathan
Parsons, Paul
Sedig, Kamran
author_facet Demelo, Jonathan
Parsons, Paul
Sedig, Kamran
author_sort Demelo, Jonathan
collection PubMed
description BACKGROUND: Diverse users need to search health and medical literature to satisfy open-ended goals such as making evidence-based decisions and updating their knowledge. However, doing so is challenging due to at least two major difficulties: (1) articulating information needs using accurate vocabulary and (2) dealing with large document sets returned from searches. Common search interfaces such as PubMed do not provide adequate support for exploratory search tasks. OBJECTIVE: Our objective was to improve support for exploratory search tasks by combining two strategies in the design of an interactive visual interface by (1) using a formal ontology to help users build domain-specific knowledge and vocabulary and (2) providing multi-stage triaging support to help mitigate the information overload problem. METHODS: We developed a Web-based tool, Ontology-Driven Visual Search and Triage Interface for MEDLINE (OVERT-MED), to test our design ideas. We implemented a custom searchable index of MEDLINE, which comprises approximately 25 million document citations. We chose a popular biomedical ontology, the Human Phenotype Ontology (HPO), to test our solution to the vocabulary problem. We implemented multistage triaging support in OVERT-MED, with the aid of interactive visualization techniques, to help users deal with large document sets returned from searches. RESULTS: Formative evaluation suggests that the design features in OVERT-MED are helpful in addressing the two major difficulties described above. Using a formal ontology seems to help users articulate their information needs with more accurate vocabulary. In addition, multistage triaging combined with interactive visualizations shows promise in mitigating the information overload problem. CONCLUSIONS: Our strategies appear to be valuable in addressing the two major problems in exploratory search. Although we tested OVERT-MED with a particular ontology and document collection, we anticipate that our strategies can be transferred successfully to other contexts.
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spelling pubmed-53141022017-02-27 Ontology-Driven Search and Triage: Design of a Web-Based Visual Interface for MEDLINE Demelo, Jonathan Parsons, Paul Sedig, Kamran JMIR Med Inform Original Paper BACKGROUND: Diverse users need to search health and medical literature to satisfy open-ended goals such as making evidence-based decisions and updating their knowledge. However, doing so is challenging due to at least two major difficulties: (1) articulating information needs using accurate vocabulary and (2) dealing with large document sets returned from searches. Common search interfaces such as PubMed do not provide adequate support for exploratory search tasks. OBJECTIVE: Our objective was to improve support for exploratory search tasks by combining two strategies in the design of an interactive visual interface by (1) using a formal ontology to help users build domain-specific knowledge and vocabulary and (2) providing multi-stage triaging support to help mitigate the information overload problem. METHODS: We developed a Web-based tool, Ontology-Driven Visual Search and Triage Interface for MEDLINE (OVERT-MED), to test our design ideas. We implemented a custom searchable index of MEDLINE, which comprises approximately 25 million document citations. We chose a popular biomedical ontology, the Human Phenotype Ontology (HPO), to test our solution to the vocabulary problem. We implemented multistage triaging support in OVERT-MED, with the aid of interactive visualization techniques, to help users deal with large document sets returned from searches. RESULTS: Formative evaluation suggests that the design features in OVERT-MED are helpful in addressing the two major difficulties described above. Using a formal ontology seems to help users articulate their information needs with more accurate vocabulary. In addition, multistage triaging combined with interactive visualizations shows promise in mitigating the information overload problem. CONCLUSIONS: Our strategies appear to be valuable in addressing the two major problems in exploratory search. Although we tested OVERT-MED with a particular ontology and document collection, we anticipate that our strategies can be transferred successfully to other contexts. JMIR Publications 2017-02-02 /pmc/articles/PMC5314102/ /pubmed/28153818 http://dx.doi.org/10.2196/medinform.6918 Text en ©Jonathan Demelo, Paul Parsons, Kamran Sedig. Originally published in JMIR Medical Informatics (http://medinform.jmir.org), 02.02.2017. https://creativecommons.org/licenses/by/2.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/ (https://creativecommons.org/licenses/by/2.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Medical Informatics, is properly cited. The complete bibliographic information, a link to the original publication on http://medinform.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Demelo, Jonathan
Parsons, Paul
Sedig, Kamran
Ontology-Driven Search and Triage: Design of a Web-Based Visual Interface for MEDLINE
title Ontology-Driven Search and Triage: Design of a Web-Based Visual Interface for MEDLINE
title_full Ontology-Driven Search and Triage: Design of a Web-Based Visual Interface for MEDLINE
title_fullStr Ontology-Driven Search and Triage: Design of a Web-Based Visual Interface for MEDLINE
title_full_unstemmed Ontology-Driven Search and Triage: Design of a Web-Based Visual Interface for MEDLINE
title_short Ontology-Driven Search and Triage: Design of a Web-Based Visual Interface for MEDLINE
title_sort ontology-driven search and triage: design of a web-based visual interface for medline
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5314102/
https://www.ncbi.nlm.nih.gov/pubmed/28153818
http://dx.doi.org/10.2196/medinform.6918
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