Interfaces for Searching and Triaging Large Document Sets: An Ontology-Supported Visual Analytics Approach
We investigate the design of ontology-supported, progressively disclosed visual analytics interfaces for searching and triaging large document sets. The goal is to distill a set of criteria that can help guide the design of such systems. We begin with a background of information search, triage, mach...
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Format: | Article |
Language: | English |
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MDPI AG
2021-12-01
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Series: | Information |
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Online Access: | https://www.mdpi.com/2078-2489/13/1/8 |
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author | Jonathan Demelo Kamran Sedig |
author_facet | Jonathan Demelo Kamran Sedig |
author_sort | Jonathan Demelo |
collection | DOAJ |
description | We investigate the design of ontology-supported, progressively disclosed visual analytics interfaces for searching and triaging large document sets. The goal is to distill a set of criteria that can help guide the design of such systems. We begin with a background of information search, triage, machine learning, and ontologies. We review research on the multi-stage information-seeking process to distill the criteria. To demonstrate their utility, we apply the criteria to the design of a prototype visual analytics interface: VisualQUEST (Visual interface for QUEry, Search, and Triage). VisualQUEST allows users to plug-and-play document sets and expert-defined ontology files within a domain-independent environment for multi-stage information search and triage tasks. We describe VisualQUEST through a functional workflow and culminate with a discussion of ongoing formative evaluations, limitations, future work, and summary. |
first_indexed | 2024-03-10T01:16:08Z |
format | Article |
id | doaj.art-706bef57d1024f4792f23661093f45d1 |
institution | Directory Open Access Journal |
issn | 2078-2489 |
language | English |
last_indexed | 2024-03-10T01:16:08Z |
publishDate | 2021-12-01 |
publisher | MDPI AG |
record_format | Article |
series | Information |
spelling | doaj.art-706bef57d1024f4792f23661093f45d12023-11-23T14:08:16ZengMDPI AGInformation2078-24892021-12-01131810.3390/info13010008Interfaces for Searching and Triaging Large Document Sets: An Ontology-Supported Visual Analytics ApproachJonathan Demelo0Kamran Sedig1Department of Computer Science, Western University, London, ON N6A 3K7, CanadaDepartment of Computer Science, Western University, London, ON N6A 3K7, CanadaWe investigate the design of ontology-supported, progressively disclosed visual analytics interfaces for searching and triaging large document sets. The goal is to distill a set of criteria that can help guide the design of such systems. We begin with a background of information search, triage, machine learning, and ontologies. We review research on the multi-stage information-seeking process to distill the criteria. To demonstrate their utility, we apply the criteria to the design of a prototype visual analytics interface: VisualQUEST (Visual interface for QUEry, Search, and Triage). VisualQUEST allows users to plug-and-play document sets and expert-defined ontology files within a domain-independent environment for multi-stage information search and triage tasks. We describe VisualQUEST through a functional workflow and culminate with a discussion of ongoing formative evaluations, limitations, future work, and summary.https://www.mdpi.com/2078-2489/13/1/8interface designontologiesvisual analyticsvisualizationsinteractionmachine learning |
spellingShingle | Jonathan Demelo Kamran Sedig Interfaces for Searching and Triaging Large Document Sets: An Ontology-Supported Visual Analytics Approach Information interface design ontologies visual analytics visualizations interaction machine learning |
title | Interfaces for Searching and Triaging Large Document Sets: An Ontology-Supported Visual Analytics Approach |
title_full | Interfaces for Searching and Triaging Large Document Sets: An Ontology-Supported Visual Analytics Approach |
title_fullStr | Interfaces for Searching and Triaging Large Document Sets: An Ontology-Supported Visual Analytics Approach |
title_full_unstemmed | Interfaces for Searching and Triaging Large Document Sets: An Ontology-Supported Visual Analytics Approach |
title_short | Interfaces for Searching and Triaging Large Document Sets: An Ontology-Supported Visual Analytics Approach |
title_sort | interfaces for searching and triaging large document sets an ontology supported visual analytics approach |
topic | interface design ontologies visual analytics visualizations interaction machine learning |
url | https://www.mdpi.com/2078-2489/13/1/8 |
work_keys_str_mv | AT jonathandemelo interfacesforsearchingandtriaginglargedocumentsetsanontologysupportedvisualanalyticsapproach AT kamransedig interfacesforsearchingandtriaginglargedocumentsetsanontologysupportedvisualanalyticsapproach |