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dc.contributor.authorFox, Peter
dc.contributor.authorHendler, Jim
dc.date.accessioned2022-02-18T02:38:02Z
dc.date.available2022-02-18T02:38:02Z
dc.date.issued2011-02-11
dc.identifier.other196
dc.identifier.urihttp://dx.doi.org/10.1126/science.1197654
dc.identifier.urihttps://hdl.handle.net/20.500.13015/4598
dc.descriptionpages 705 - 708
dc.description.abstractAn essential facet of the data deluge is the need for different types of users to apply visualizations to understand how data analyses and queries relate to each other. Unfortunately, visualization too often becomes an end product of scientific analysis, rather than an exploration tool that scientists can use throughout the research life cycle. However, new database technologies, coupled with emerging Web-based technologies, may hold the key to lowering the cost of visualization generation and allow it to become a more integral part of the scientific process.
dc.publisherScience Magazine
dc.relation.ispartofseries331
dc.relation.ispartofseries6018
dc.relation.urihttps://tw.rpi.edu/project/SeSF
dc.subjectSemantic eScience Framework (SeSF)
dc.titleChanging the Equation on Scientific Data Visualization


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