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  "author": "Harry Li",
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  "author": "Harry Li",
            
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  "author_email": "harry.li@ll.mit.edu",
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  "author_email": "harry.li@ll.mit.edu",
            
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    "https://doi.org/10.1109/TVCG.2023.3326904"
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      "extra_author": "Gabriel Appleby",
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      "extra_author": "Gabriel Appleby",
            
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  "name": 
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  "name": 
            
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haracterizing-their-users-challenges-and-visualization-opportunities",
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haracterizing-their-users-challenges-and-visualization-opportunities",
            
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  "notes": "This study presents insights from interviews with nineteen 
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  "notes": "This study presents insights from interviews with nineteen 
            
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Knowledge Graph (KG) practitioners who work in both enterprise and 
51
Knowledge Graph (KG) practitioners who work in both enterprise and 
            
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academic settings on a wide variety of use cases. Through this study, 
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academic settings on a wide variety of use cases. Through this study, 
            
53
we identify critical challenges experienced by KG practitioners when 
53
we identify critical challenges experienced by KG practitioners when 
            
54
creating, exploring, and analyzing KGs that could be alleviated 
54
creating, exploring, and analyzing KGs that could be alleviated 
            
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through visualization design. Our findings reveal three major personas 
55
through visualization design. Our findings reveal three major personas 
            
56
among KG practitioners \u2013 KG Builders, Analysts, and Consumers 
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among KG practitioners \u2013 KG Builders, Analysts, and Consumers 
            
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\u2013 each of whom have their own distinct expertise and needs. We 
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\u2013 each of whom have their own distinct expertise and needs. We 
            
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discover that KG Builders would benefit from schema enforcers, while 
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discover that KG Builders would benefit from schema enforcers, while 
            
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KG Analysts need customizable query builders that provide interim 
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KG Analysts need customizable query builders that provide interim 
            
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query results. For KG Consumers, we identify a lack of efficacy for 
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query results. For KG Consumers, we identify a lack of efficacy for 
            
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node-link diagrams, and the need for tailored domain-specific 
61
node-link diagrams, and the need for tailored domain-specific 
            
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visualizations to promote KG adoption and comprehension. Lastly, we 
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visualizations to promote KG adoption and comprehension. Lastly, we 
            
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find that implementing KGs effectively in practice requires both 
63
find that implementing KGs effectively in practice requires both 
            
64
technical and social solutions that are not addressed with current 
64
technical and social solutions that are not addressed with current 
            
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tools, technologies, and collaborative workflows. From the analysis of 
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tools, technologies, and collaborative workflows. From the analysis of 
            
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our interviews, we distill several visualization research directions 
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our interviews, we distill several visualization research directions 
            
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to improve KG usability, including knowledge cards that balance 
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to improve KG usability, including knowledge cards that balance 
            
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digestibility and discoverability, timeline views to track temporal 
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digestibility and discoverability, timeline views to track temporal 
            
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changes, interfaces that support organic discovery, and semantic 
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changes, interfaces that support organic discovery, and semantic 
            
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explanations for AI and machine learning predictions.",
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explanations for AI and machine learning predictions.",
            
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Technology, abbreviated TIB, is the national library of the Federal 
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Technology, abbreviated TIB, is the national library of the Federal 
            
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Republic of Germany for all fields of engineering, technology, and the 
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  "title": "Knowledge Graphs in Practice: Characterizing their Users, 
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Challenges, and Visualization Opportunities",
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