Search (5 results, page 1 of 1)

  • × author_ss:"Scharnhorst, A."
  • × year_i:[2010 TO 2020}
  1. Mayr, P.; Scharnhorst, A.: Scientometrics and information retrieval - weak-links revitalized (2015) 0.00
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    Footnote
    Editorial zu einem Special Issue "Combining bibliometrics and information retrieval"
  2. Borgman, C.L.; Scharnhorst, A.; Golshan, M.S.: Digital data archives as knowledge infrastructures : mediating data sharing and reuse (2019) 0.00
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    Date
    7. 7.2019 11:58:22
  3. Gregory, K.; Groth, P.; Cousijn, H.; Scharnhorst, A.; Wyatt, S.: Searching data : a review of observational data retrieval practices in selected disciplines (2019) 0.00
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    Abstract
    A cross-disciplinary examination of the user behaviors involved in seeking and evaluating data is surprisingly absent from the research data discussion. This review explores the data retrieval literature to identify commonalities in how users search for and evaluate observational research data in selected disciplines. Two analytical frameworks, rooted in information retrieval and science and technology studies, are used to identify key similarities in practices as a first step toward developing a model describing data retrieval.
  4. Scharnhorst, A.; Salah, A.A.; Gao, C.; Suchecki, K.; Smiraglia, R.P.: ¬The evolution of knowledge, and its representation in classification systems (2011) 0.00
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    Abstract
    Classification systems are often described as stable reference systems. Sometimes they are accused of being inflexible concerning the coverage of new ideas and scientific fields. Classification as an activity is the basis of all theory-generating research, and also plays a powerful role in social ordering. It is obvious that the ways in which we seek information and in which information is provided has changed dramatically since the emergence of digital information processing and even more with the internet, and web-based technologies. The purpose of this paper is to illustrate the notion of a stable knowledge organization classification as a temporary stationary manifestation of an open and evolving system of classification. We compare the structure of the main classes in the Universal Decimal Classification (UDC) according to their usage of special auxiliaries to demonstrate the dynamic evolution of the UDC over time, as a stable reference system representing published organized knowledge. We view the ecology of the UDC, and discover that most changes are to the ecology itself as numbers are re-interpreted. This subtle type of change is a key to monitoring the evolution of knowledge as it is represented in the UDC's stable reference system.
  5. Scharnhorst, A.; Smiraglia, R.P.; Guéret, C.; Salah, A.A.A.: Knowledge maps for libraries and archives : uses and use cases (2015) 0.00
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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.