Date of Award

2-2-2012

Document Type

Dissertation

Degree Name

Doctor of Philosophy (PhD)

Department

Information Science

First Advisor

M.Eduard Tudoreanu

Abstract

Visualization and visual analytics rely heavily on rapid exploration, and a combination of various information dimensions and sources performed by an analyst. Integrating Information Quality involves combining Information Quality (IQ) residing in different sources and providing users with a unified view of this data quality. This process becomes significant in a variety of situations both commercial and scientific. Integrating information appears with increasing frequency as the volume and the need to share existing information grows. This research focus on a subset of IQ dimensions, which we term subjective IQ (SIQ). Visual analytics techniques rely on fast, continuous, and interactive user exploration and multiple changes the information being displayed, but they currently cannot convey Information Quality because no techniques exist for continuously updating the quality of the current information in a short period of time. Current approaches fail to provide awareness with regard to the quality and contribution of each of these sources to the combined information shown in the visualization. This research focuses on assessing the Subjective Information Quality dimensions in order to facilitate the integration of those metrics in visualizations, so that users can take the most of the advantage of visual analytics. It also focuses on the quality of combined information and how the combined Information Quality should be conveyed and presented to the users. The main deliverable of this research is to understand and establish rules/principles about how quality of information can be determined /assessed through visualizations.

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