Describes this perspectives issue that was designed to provide an historical background to visualization in information retrieval. Topics include knowledge, digital technology, the first visual interface to a collection at NASA (National Aeronautics and Space Administration), theoretical foundations, and applications. (LRW)

Describes a study that used the TREC information-retrieval test collection to evaluate Visual Information Retrieval Interfaces (VIRIs). Discusses multiple-similarity measures, scaling properties, and MLE (maximum likely method), and suggests that cosine-vector and overlap measures for similarity appear to recover optimal data relationships among…

Discussion of information-retrieval test collections focuses on a study of TREC documents that used scaling and visualization of documents using a maximum-likelihood estimation method to examine the relevance of documents retrieved. Discusses clustering, similarity measures, isomorphism, and semantic relevance. (LRW)

Presents a tested hypothesis raised by an earlier study and confirmed that query-surrogate documents chosen from within dense interdocument structures in scaled and visualized TREC Topic document data sets increased the number of relevant documents retrieved by 26-46%. Performance of information retrieval systems on data sets for which relevant…

Examined the use of the TREC Information Retrieval Test Collection for evaluating visual information retrieval interfaces (VIRI). Found that TREC data sets were suitable as development tools for VIRIs and traditional information retrieval systems and that the computational cost of organizing data into useful visual fields were high and related to…

Reports on a conference workshop that addressed Visual Information Retrieval Interfaces (VIRIs). Topics include evaluation methods; task dimension for evaluating VIRIs; efforts to fund European development of VIRIs; metrics, including cosine vector; navigation among documents; and interactions with users. (LRW)