Content Provider	IEEE Xplore Digital Library
Author	Fekete, J.-D. Hemery, P.-L. Baudel, T. Wood, J.
Copyright Year	2011
Description	Author affiliation: City University, London, USA (Wood, J.) \|\| INRIA, France (Fekete, J.-D.; Hemery, P.-L.) \|\| IBM, USA (Baudel, T.)
Abstract	This article describes “Obvious”: a meta-toolkit that abstracts and encapsulates information visualization toolkits implemented in the Java language. It intends to unify their use and postpone the choice of which concrete toolkit(s) to use later-on in the development of visual analytics applications. We also report on the lessons we have learned when wrapping popular toolkits with Obvious, namely Prefuse, the InfoVis Toolkit, partly Improvise, JUNG and other data management libraries. We show several examples on the uses of Obvious, how the different toolkits can be combined, for instance sharing their data models. We also show how Weka and Rapid-Miner, two popular machine-learning toolkits, have been wrapped with Obvious and can be used directly with all the other wrapped toolkits. We expect Obvious to start a co-evolution process: Obvious is meant to evolve when more components of Information Visualization systems will become consensual. It is also designed to help information visualization systems adhere to the best practices to provide a higher level of interoperability and leverage the domain of visual analytics.
Starting Page	91
Ending Page	100
File Size	454706
Page Count	10
File Format	PDF
ISBN	9781467300155
e-ISBN	9781467300148
DOI	10.1109/VAST.2011.6102446
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-10-23
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Visualization Java Data visualization Observers Data models Libraries
Content Type	Text
Resource Type	Article

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