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Abstract

At the last Digital Library Conference in London two workshops took place - both (in parallel) devoted to the use of visualization in presenting and navigating large collections. One was entitled Search Is Over! and of the other Knowledge Maps and Information Retrieval. This anecdotal evidence stands for the growing and accelerating quest for visually enhanced interfaces to collections. Researchers from information visualization, computer human interaction, information retrieval, bibliometrics, digital humanities, art and network theory in parallel, often also in ignorance of each other, sometimes in interdisciplinary alliances are engaged in this quest. This paper reviews the current state-of-the-art, with special emphasis on the work of the COST Action TD1210 Knowescape. We discuss in more depth two examples of the use of visual analytics to create a fingerprint of an archive or a library, a data archive and a national library. We present examples from the micro-level of monitoring activities of users, over the meso-level to visualize features of bibliographic records, to macroscopes (a term coined by Katy Borner) into libraries and archives. We also discuss how different ways to perform visual analytics inform each other, how they are related to questions of data mining and statistical analysis, and which methods need to be combined or which communities need to collaborate. To illustrate some of these points we analysed Universal Decimal Classification (UDC) codes in bibliographic datasets of the National Library of Portugal. This is a potential still awaiting to be fully exploited in improving interfaces to subject access and management of classification data. It should be noted that UDC notation strings stored in bibliographic databases require specialist knowledge in both UDC and programming for any visualization tools to be applied. This UDC Seminar which is devoted to authority control is an opportunity to draw attention to the possibilities in visualization whose wider application depends on the readily structured, richer and more transparent subject metadata.