Search (6 results, page 1 of 1)

  • × language_ss:"e"
  • × type_ss:"r"
  • × year_i:[2010 TO 2020}
  1. Horridge, M.; Brandt, S.: ¬A practical guide to building OWL ontologies using Protégé 4 and CO-ODE Tools (2011) 0.02 
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    Content
    Vgl.: http://owl.cs.manchester.ac.uk/tutorials/protegeowltutorial/resources/ProtegeOWLTutorialP4_v1_3.pdf.
  2. Riva, P.; Boeuf, P. le; Zumer, M.: IFLA Library Reference Model : a conceptual model for bibliographic information (2017) 0.02 
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    Abstract
    Definition of a conceptual reference model to provide a framework for the analysis of non-administrative metadata relating to library resources. The resulting model definition was approved by the FRBR Review Group (November 2016), and then made available to the Standing Committees of the Sections on Cataloguing and Subject Analysis & Access, as well as to the ISBD Review Group, for comment in December 2016. The final document was approved by the IFLACommittee on Standards (August 2017).
  3. British Library / FAST/Dewey Review Group: Consultation on subject indexing and classification standards applied by the British Library (2015) 0.02 
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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.
  4. Breeding, M.: Library systems report 2019 : cycles of innovation (2019) 0.01 
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    Abstract
    The library technology industry, broadly speaking, shows more affinity toward utility than innovation. Library automation systems are not necessarily exciting technologies, but they are workhorse applications that must support the complex tasks of acquiring, describing, and providing access to materials and services. They represent substantial investments, and their effectiveness is tested daily in the library. But more than efficiency is at stake: These products must be aligned with the priorities of the library relative to collection management, service provision, and other functions.
  5. 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
  6. Kaytoue, M.; Kuznetsov, S.O.; Assaghir, Z.; Napoli, A.: Embedding tolerance relations in concept lattices : an application in information fusion (2010) 0.01 
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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.
    Series
    Knowledge and data representation and management; no.7353

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