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  1. Drewer, P.; Massion, F; Pulitano, D: Was haben Wissensmodellierung, Wissensstrukturierung, künstliche Intelligenz und Terminologie miteinander zu tun? (2017) 0.01
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    Date
    13.12.2017 14:17:22
  2. Tober, M.; Hennig, L.; Furch, D.: SEO Ranking-Faktoren und Rang-Korrelationen 2014 : Google Deutschland (2014) 0.01
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    Date
    13. 9.2014 14:45:22
  3. Deokattey, S.; Sharma, S.B.K.; Kumar, G.R.; Bhanumurthy, K.: Knowledge organization research : an overview (2015) 0.01
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    Date
    22. 6.2015 16:13:38
  4. Positionspapier zur Weiterentwicklung der Bibliotheksverbünde als Teil einer überregionalen Informationsinfrastruktur (2011) 0.00
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    Date
    7. 2.2011 19:52:22
  5. Förderung von Informationsinfrastrukturen für die Wissenschaft : Ein Positionspapier der Deutschen Forschungsgemeinschaft (2018) 0.00
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    Date
    22. 3.2018 17:30:43
  6. Wehling, E.: Framing-Manual : Unser gemeinsamer freier Rundfunk ARD (2019) 0.00
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    Date
    22. 2.2019 9:26:20
  7. Hochschule im digitalen Zeitalter : Informationskompetenz neu begreifen - Prozesse anders steuern (2012) 0.00
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    Date
    8.12.2012 17:22:26
  8. British Library / FAST/Dewey Review Group: Consultation on subject indexing and classification standards applied by the British Library (2015) 0.00
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    Abstract
    A broad-based review of the subject and classification schemes used on British Library records began in late 2014. The review was undertaken in response to a number of drivers including: - An increasing demand on available resources due to the rapidly expanding digital publishing arena, and continuing steady state in print publication patterns - Increased demands on metadata to meet changing audience expectations.
  9. Kaytoue, M.; Kuznetsov, S.O.; Assaghir, Z.; Napoli, A.: Embedding tolerance relations in concept lattices : an application in information fusion (2010) 0.00
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    Abstract
    Formal Concept Analysis (FCA) is a well founded mathematical framework used for conceptual classication and knowledge management. Given a binary table describing a relation between objects and attributes, FCA consists in building a set of concepts organized by a subsumption relation within a concept lattice. Accordingly, FCA requires to transform complex data, e.g. numbers, intervals, graphs, into binary data leading to loss of information and poor interpretability of object classes. In this paper, we propose a pre-processing method producing binary data from complex data taking advantage of similarity between objects. As a result, the concept lattice is composed of classes being maximal sets of pairwise similar objects. This method is based on FCA and on a formalization of similarity as a tolerance relation (reexive and symmetric). It applies to complex object descriptions and especially here to interval data. Moreover, it can be applied to any kind of structured data for which a similarity can be dened (sequences, graphs, etc.). Finally, an application highlights that the resulting concept lattice plays an important role in information fusion problem, as illustrated with a real-world example in agronomy.
  10. Gradmann, S.: Knowledge = Information in context : on the importance of semantic contextualisation in Europeana (2010) 0.00
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    Abstract
    "Europeana.eu is about ideas and inspiration. It links you to 6 million digital items." This is the opening statement taken from the Europeana WWW-site (http://www.europeana.eu/portal/aboutus.html), and it clearly is concerned with the mission of Europeana - without, however, being over-explicit as to the precise nature of that mission. Europeana's current logo, too, has a programmatic aspect: the slogan "Think Culture" clearly again is related to Europeana's mission and at same time seems somewhat closer to the point: 'thinking' culture evokes notions like conceptualisation, reasoning, semantics and the like. Still, all this remains fragmentary and insufficient to actually clarify the functional scope and mission of Europeana. In fact, the author of the present contribution is convinced that Europeana has too often been described in terms of sheer quantity, as a high volume aggregation of digital representations of cultural heritage objects without sufficiently stressing the functional aspects of this endeavour. This conviction motivates the present contribution on some of the essential functional aspects of Europeana making clear that such a contribution - even if its author is deeply involved in building Europeana - should not be read as an official statement of the project or of the European Commission (which it is not!) - but as the personal statement from an information science perspective! From this perspective the opening statement is that Europeana is much more than a machine for mechanical accumulation of object representations but that one of its main characteristics should be to enable the generation of knowledge pertaining to cultural artefacts. The rest of the paper is about the implications of this initial statement in terms of information science, on the way we technically prepare to implement the necessary data structures and functionality and on the novel functionality Europeana will offer based on these elements and which go well beyond the 'traditional' digital library paradigm. However, prior to exploring these areas it may be useful to recall the notion of 'knowledge' that forms the basis of this contribution and which in turn is part of the well known continuum reaching from data via information and knowledge to wisdom.