Journal:Design of generalized search interfaces for health informatics
Full article title | Design of generalized search interfaces for health informatics |
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Journal | Information |
Author(s) | Demelo, Jonathan; Sedig, Kamran |
Author affiliation(s) | Western University |
Primary contact | Email: sedig at uwo dot ca |
Editors | Almada, Marta |
Year published | 2021 |
Volume and issue | 12(8) |
Article # | 317 |
DOI | 10.3390/info12080317 |
ISSN | 2078-2489 |
Distribution license | Creative Commons Attribution 4.0 International |
Website | https://www.mdpi.com/2078-2489/12/8/317/htm |
Download | https://www.mdpi.com/2078-2489/12/8/317/pdf (PDF) |
This article should be considered a work in progress and incomplete. Consider this article incomplete until this notice is removed. |
Abstract
In this paper, we investigate ontology-supported interfaces for health informatics search tasks involving large document sets. We begin by providing background on health informatics, machine learning, and ontologies. We review leading research on health informatics search tasks to help formulate high-level design criteria. We then use these criteria to examine traditional design strategies for search interfaces. To demonstrate the utility of the criteria, we apply them to the design of the ONTology-supported Search Interface (ONTSI), a demonstrative, prototype system. ONTSI allows users to plug-and-play document sets and expert-defined domain ontologies through a generalized search interface. ONTSI’s goal is to help align users’ common vocabulary with the domain-specific vocabulary of the plug-and-play document set. We describe the functioning and utility of ONTSI in health informatics search tasks through a workflow and a scenario. We conclude with a summary of ongoing evaluations, limitations, and future research.
Keywords: information search, search tasks, health informatics, interface design, ontologies, machine learning, PubMed
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This presentation is faithful to the original, with only a few minor changes to presentation. Some grammar and punctuation was cleaned up to improve readability. In some cases important information was missing from the references, and that information was added.