2009 | OriginalPaper | Buchkapitel
A Middleware Framework to Create and Manage Data Structures for Visual Analytics
verfasst von : Juan Garcia, Diego A. Gomez, Antonio Gonzalez, Francisco J. Garcia, Roberto Theron
Erschienen in: Best Practices for the Knowledge Society. Knowledge, Learning, Development and Technology for All
Verlag: Springer Berlin Heidelberg
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Visual Analytics require the use of large datasets and most of the time visualizations use their own data structures definition or make use of simple standards such as XML, CVS, or text files. Our proposal presents a middleware framework that focuses on providing a way to manage those data structures, allowing to access heterogeneous data sources. The framework allows defining data structures for different visualizations using the same dataset. It dynamically generates a visual interface that allows users to define data structures according to the specific visualization requirements. It also provides a repository to store data structures to reuse them in other visualizations or by means of inheritance, composition and associations. We have implemented a first prototype, which is discussed in the results presented on this paper.