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pro vyhledávání: '"Jonathan Demelo"'
Autor:
Jonathan Demelo, Kamran Sedig
Publikováno v:
Information, Vol 13, Iss 1, p 8 (2021)
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 wit
Externí odkaz:
https://doaj.org/article/706bef57d1024f4792f23661093f45d1
Autor:
Jonathan Demelo, Kamran Sedig
Publikováno v:
Information, Vol 12, Iss 8, p 317 (2021)
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 hea
Externí odkaz:
https://doaj.org/article/553c3b0d0b8d4f62ac607fe6107090f8
Autor:
Jonathan Demelo, Kamran Sedig
Publikováno v:
Multimodal Technologies and Interaction, Vol 5, Iss 1, p 2 (2021)
Ontology datasets, which encode the expert-defined complex objects mapping the entities, relations, and structures of a domain ontology, are increasingly being integrated into the performance of challenging knowledge-based tasks. Yet, it is hard to u
Externí odkaz:
https://doaj.org/article/ba4c7e1313a242338b0ef15c6a8fc666
Autor:
Jonathan Demelo, Kamran Sedig
Publikováno v:
Information, Vol 13, Iss 8, p 8 (2022)
Information; Volume 13; Issue 1; Pages: 8
Information; Volume 13; Issue 1; Pages: 8
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 wit
Autor:
Kamran Sedig, Jonathan Demelo
Publikováno v:
Information, Vol 12, Iss 317, p 317 (2021)
Information
Volume 12
Issue 8
Information
Volume 12
Issue 8
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 hea
Publikováno v:
JMIR Medical Informatics
Computer Graphics Technology Faculty Publications
Computer Graphics Technology Faculty Publications
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) arti