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Analyzing user interactions with biomedical ontologies: A visual perspective
Published on Nov 22, 20182366 Views
Biomedical ontologies are large: Several ontologies in the BioPortal repository contain thousands or even hundreds of thousands of entities. The development and maintenance of such large ontologies is
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Chapter list
Analyzing User Interactions with Biomedical Ontologies00:00
Welcome to BioPortal - 100:13
Welcome to BioPortal - 200:27
Welcome to BioPortal - 301:02
Welcome to BioPortal - 401:15
Benefits of analyzing user interactions01:40
Research Questions - 102:51
What this talk is about … - 103:25
What this talk is about … - 2 03:33
BiOnIC: A Catalog of User Interactions with Biomedical Ontologies03:57
Characteristics of the BiOnIC Catalog04:25
VisIOn (Visualizing Ontology Interactions) Web Application04:57
PolygOnto visualizations of interaction sequences - 105:24
PolygOnto visualizations of interaction sequences - 206:10
PolygOnto visualizations of interaction sequences - 306:25
PolygOnto visualizations of interaction sequences - 406:36
PolygOnto visualizations of interaction sequences - 506:44
PolygOnto visualizations of interaction sequences - 606:52
What this talk is about … - 307:41
Research Questions - 207:48
Research Questions - 308:02
Interface influences in browsing and querying - 109:46
Interface influences in browsing and querying - 210:11
Interface influences in browsing and querying - 310:39
Exploration and Querying behavioral patterns - 111:07
Exploration and Querying behavioral patterns - 212:07
Do BioPortal WebUI exploration and API querying strategies correlate with each other?12:32
Research Questions - 413:12
Unified Medical Language System (UMLS)13:23
Ontology usage: Reuse in other ontologies13:57
Ontology usage: GWAS Catalog and PubChem annotations - 114:38
Ontology usage: GWAS Catalog and PubChem annotations - 215:00
Do BioPortal WebUI exploration and API querying strategies inform ontology usage?15:20
This talk was about … - 415:56
Thank you16:12