Towards an Extendable Software System for Information Integration

Data fusion (or information integration) from different sources is required for many technical fields, including epidemiology, medicine, biology, business, and military applications such as intelligence. Data fusion may involve integration of spectral content with imaging, text, and many other observations or with sensor data. Therefore, any software system for information integration should be extendable from one application to another. This paper describes some specific instances of data fusion, and shows how the fusion process can be viewed as multi-path and multi-stage mappings. These mappings can be organized from a software perspective into parallel development and management of four tools libraries: structure tools for data-fusion structure specifications, analytic tools for mapping methodologies, visualization tools for human and machine interface, and evaluation tools for evaluating fusion outcomes. Such software architecture will ensure the extendibility of the information integration system

Cognitive Foundations for Visual Analytics

In this report, we provide an overview of scientific/technical literature on information visualization and VA. Topics discussed include an update and overview of the extensive literature search conducted for this study, the nature and purpose of the field, major research thrusts, and scientific foundations. We review methodologies for evaluating and measuring the impact of VA technologies as well as taxonomies that have been proposed for various purposes to support the VA community. A cognitive science perspective underlies each of these discussions