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  • × classification_ss:"06.35 Informationsmanagement"
  1. Dominich, S.: Mathematical foundations of information retrieval (2001) 0.07
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    Abstract
    This book offers a comprehensive and consistent mathematical approach to information retrieval (IR) without which no implementation is possible, and sheds an entirely new light upon the structure of IR models. It contains the descriptions of all IR models in a unified formal style and language, along with examples for each, thus offering a comprehensive overview of them. The book also creates mathematical foundations and a consistent mathematical theory (including all mathematical results achieved so far) of IR as a stand-alone mathematical discipline, which thus can be read and taught independently. Also, the book contains all necessary mathematical knowledge on which IR relies, to help the reader avoid searching different sources. The book will be of interest to computer or information scientists, librarians, mathematicians, undergraduate students and researchers whose work involves information retrieval.
    Date
    22. 3.2008 12:26:32
  2. Scholarly metrics under the microscope : from citation analysis to academic auditing (2015) 0.02
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    Date
    22. 1.2017 17:12:50
  3. Borgman, C.L.: Big data, little data, no data : scholarship in the networked world (2015) 0.01
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    Abstract
    "Big Data" is on the covers of Science, Nature, the Economist, and Wired magazines, on the front pages of the Wall Street Journal and the New York Times. But despite the media hyperbole, as Christine Borgman points out in this examination of data and scholarly research, having the right data is usually better than having more data; little data can be just as valuable as big data. In many cases, there are no data -- because relevant data don't exist, cannot be found, or are not available. Moreover, data sharing is difficult, incentives to do so are minimal, and data practices vary widely across disciplines. Borgman, an often-cited authority on scholarly communication, argues that data have no value or meaning in isolation; they exist within a knowledge infrastructure -- an ecology of people, practices, technologies, institutions, material objects, and relationships. After laying out the premises of her investigation -- six "provocations" meant to inspire discussion about the uses of data in scholarship -- Borgman offers case studies of data practices in the sciences, the social sciences, and the humanities, and then considers the implications of her findings for scholarly practice and research policy. To manage and exploit data over the long term, Borgman argues, requires massive investment in knowledge infrastructures; at stake is the future of scholarship.
  4. Gartner, R.: Metadata in the digital library : building an integrated strategy with XML (2021) 0.01
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    Abstract
    This book provides a practical introduction to metadata for the digital library, describing in detail how to implement a strategic approach which will enable complex digital objects to be discovered, delivered and preserved in the short- and long-term.
  5. Knowledge organization for a global learning society : Proceedings of the 9th International ISKO Conference, 4-7 July 2006, Vienna, Austria (2006) 0.01
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    Date
    27.12.2008 11:22:36