| |  | Jankun-kelly, T. J. | A Model and Framework for Visualization Exploration read moreAbstract: Visualization exploration is the process of extracting insight from data via interaction with visual depictions of that data. Visualization exploration is more than presentation; the interaction with both the data and its depiction is as important as the data and depiction itself. Previous visualization research has focused on the generation of visualizations---the depiction---and not on the exploratory aspects of the visualization process. However, without formal models of the process, visualization exploration sessions cannot be fully utilized to assist users and system designers. Towards this end, we introduce the P-Set Model of Visualization Exploration for describing this process and a framework to encapsulate, share, and analyze visual explorations. In addition, systems utilizing the model and framework are more efficient as redundant exploration is avoided. Several examples drawn from visualization applications demonstrate these benefits. Taken together, the model and framework provide an effective means to exploit the information within the visual exploration process. | 2007 |
| | | Jankun-kelly, T. J. | A Model for the Visualization Exploration Process read moreAbstract: The current state of the art in visualization research places a strong emphasis on different techniques to derive insight from disparate types of data. However, little work has investigated the visualization process itself. The information content of the visualization process---the results, history, and relationships between those results---is addressed by this work. A characterization of the visualization process is discussed, leading to a general model of the visualization exploration process. The model, based upon a new parameter derivation calculus, can be used for automated reporting, analysis, or visualized directly. An XML-based language for expressing visualization sessions using the model is also described. These sessions can then be shared and reused by collaborators. The model, along with the XML representation, provides an effective means to utilize the information within the visualization process to further data exploration. | 2002 |
| | | Chi, Huai-hsin | An Operator Interaction Framework for Visualization Systems read moreAbstract: Information visualization encounters a wide variety of different
data domains. The visualization community has developed representation
methods and interactive techniques. As a community,
we have realized that the requirements in each domain are often
dramatically different. In order to easily apply existing methods,
researchers have developed a semiology of graphic representations.
We have extended this research into a framework that includes
operators and interactions in visualization systems, such as a
visualization spreadsheet. We discuss properties of this framework
and use it to characterize operations spanning a variety of different
visualization techniques. The framework developed in this paper
enables a new way of exploring and evaluating the design space of
visualization operators, and helps end--users in their analysis tasks.
Keywords: information visualization, operators, user interactions,
view/value, framework, spreadsheet, design, extensibility,
visualization systems.
1... | 1998 |
| | | Livny, M. | DEVise: integrated querying and visual exploration of large datasets read moreAbstract: DEVise is a data exploration system that allows users to easily develop, browse, and share visual present ations of large tabtiar dataaets (possibly containing or referencing multimedia objects) from several sources. The DEVise framework, implement ed in a tool that has been already successfully
applied to a variety of real applications by a number of user groups, makes several contributions. In particular, it combines support for extended relational queries with powerful data visualization features. Datasets much larger than available main memory can be handled-DEVise is currently
being used to visualize dataseta well in excess of 100MBâ?? and data can be interactively examined at several levels of detail: all the way from meta-data summarizing the entire dataset, to large subsets of the actual data, to individual data records. Combining querying (in general, data processing) with visualization gives us a very versatile tool, and presents several novel challenge. Our emphasis is on developing an intuitive yet powerful set of querying and visualization primitives that can be easily combined to develop a rich set of visual presentations that integrate data from a wide range of application domains. In this demo, we will present a number of examples of the use of the DEVise tool for visualizing and interactively exploring very large dataaets, and report on our experience in applying it to several real applications | 1997 |
| | | Rogowitz, Bernice E. | An architecture for rule-based visualization read moreAbstract: In Rogowitz and Treinish (1993), we introduced an architecture for incorporating perceptual rules into the visualization process. In this architecture, higher-level descriptors of the data, metadata, flow to perceptual rules, which constrain visualization operations. In this paper, we develop a deeper analysis of the rules, the prerequisite metadata, and the system for enabling their operation | 1993 |
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