This paper explores possibilities for marrying data visualization to online archival finding aids, which have continually suffered from usability issues in their long history. This paper describes a project in which two different data visualization models were built to replace sections of an archival finding aid. Users were then shown the models,…

Introduction: In the big data age, we have to deal with a tremendous amount of information, which can be collected from various types of sources. For information search systems such as Web search engines or online digital libraries, the collection of documents becomes larger and larger. For some queries, an information search system needs to…

Linked data stores house vetted content that can supplement the information available through online library catalogs, potentially mitigating failed author searches if information about the author exists in linked data formats. In this case study, a total of 689 failed author index queries from a large Midwestern academic library's online library…

Information systems increasingly provide options for visually inspecting data during the process of information discovery and exploration. Little research has dealt so far with user interactions with these systems, and specifically with the effects of characteristics of the displayed data and the user on performance with such systems. The study…

With many information retrieval (IR) schemes available, researchers have begun to investigate the benefits of combining results of different IR schemes to improve performance, in the process called "data fusion." This article investigates the predictive power of two variables--similarity of efficacy and dissimilarity of outputs--in simple…