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  1. Kleineberg, M.: Context analysis and context indexing : formal pragmatics in knowledge organization (2014) 0.55
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    Source
    http://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=5&ved=0CDQQFjAE&url=http%3A%2F%2Fdigbib.ubka.uni-karlsruhe.de%2Fvolltexte%2Fdocuments%2F3131107&ei=HzFWVYvGMsiNsgGTyoFI&usg=AFQjCNE2FHUeR9oQTQlNC4TPedv4Mo3DaQ&sig2=Rlzpr7a3BLZZkqZCXXN_IA&bvm=bv.93564037,d.bGg&cad=rja
  2. Li, L.; Shang, Y.; Zhang, W.: Improvement of HITS-based algorithms on Web documents 0.45
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    Content
    Vgl.: http%3A%2F%2Fdelab.csd.auth.gr%2F~dimitris%2Fcourses%2Fir_spring06%2Fpage_rank_computing%2Fp527-li.pdf. Vgl. auch: http://www2002.org/CDROM/refereed/643/.
  3. Popper, K.R.: Three worlds : the Tanner lecture on human values. Deliverd at the University of Michigan, April 7, 1978 (1978) 0.44
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    Source
    https%3A%2F%2Ftannerlectures.utah.edu%2F_documents%2Fa-to-z%2Fp%2Fpopper80.pdf&usg=AOvVaw3f4QRTEH-OEBmoYr2J_c7H
  4. Hotho, A.; Bloehdorn, S.: Data Mining 2004 : Text classification by boosting weak learners based on terms and concepts (2004) 0.42
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    Content
    Vgl.: http://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&ved=0CEAQFjAA&url=http%3A%2F%2Fciteseerx.ist.psu.edu%2Fviewdoc%2Fdownload%3Fdoi%3D10.1.1.91.4940%26rep%3Drep1%26type%3Dpdf&ei=dOXrUMeIDYHDtQahsIGACg&usg=AFQjCNHFWVh6gNPvnOrOS9R3rkrXCNVD-A&sig2=5I2F5evRfMnsttSgFF9g7Q&bvm=bv.1357316858,d.Yms.
    Date
    8. 1.2013 10:22:32
  5. Vetere, G.; Lenzerini, M.: Models for semantic interoperability in service-oriented architectures (2005) 0.39
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    Content
    Vgl.: http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=5386707&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D5386707.
  6. Mas, S.; Marleau, Y.: Proposition of a faceted classification model to support corporate information organization and digital records management (2009) 0.33
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    Footnote
    Vgl.: http://ieeexplore.ieee.org/Xplore/login.jsp?reload=true&url=http%3A%2F%2Fieeexplore.ieee.org%2Fiel5%2F4755313%2F4755314%2F04755480.pdf%3Farnumber%3D4755480&authDecision=-203.
  7. Zeng, Q.; Yu, M.; Yu, W.; Xiong, J.; Shi, Y.; Jiang, M.: Faceted hierarchy : a new graph type to organize scientific concepts and a construction method (2019) 0.33
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    Content
    Vgl.: https%3A%2F%2Faclanthology.org%2FD19-5317.pdf&usg=AOvVaw0ZZFyq5wWTtNTvNkrvjlGA.
  8. Noever, D.; Ciolino, M.: ¬The Turing deception (2022) 0.33
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    Source
    https%3A%2F%2Farxiv.org%2Fabs%2F2212.06721&usg=AOvVaw3i_9pZm9y_dQWoHi6uv0EN
  9. Huo, W.: Automatic multi-word term extraction and its application to Web-page summarization (2012) 0.31
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    Content
    A Thesis presented to The University of Guelph In partial fulfilment of requirements for the degree of Master of Science in Computer Science. Vgl. Unter: http://www.inf.ufrgs.br%2F~ceramisch%2Fdownload_files%2Fpublications%2F2009%2Fp01.pdf.
    Date
    10. 1.2013 19:22:47
  10. Xiong, C.: Knowledge based text representations for information retrieval (2016) 0.30
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    Content
    Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Language and Information Technologies. Vgl.: https%3A%2F%2Fwww.cs.cmu.edu%2F~cx%2Fpapers%2Fknowledge_based_text_representation.pdf&usg=AOvVaw0SaTSvhWLTh__Uz_HtOtl3.
  11. Farazi, M.: Faceted lightweight ontologies : a formalization and some experiments (2010) 0.28
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    Content
    PhD Dissertation at International Doctorate School in Information and Communication Technology. Vgl.: https%3A%2F%2Fcore.ac.uk%2Fdownload%2Fpdf%2F150083013.pdf&usg=AOvVaw2n-qisNagpyT0lli_6QbAQ.
  12. Malsburg, C. von der: ¬The correlation theory of brain function (1981) 0.28
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    Source
    http%3A%2F%2Fcogprints.org%2F1380%2F1%2FvdM_correlation.pdf&usg=AOvVaw0g7DvZbQPb2U7dYb49b9v_
  13. Stojanovic, N.: Ontology-based Information Retrieval : methods and tools for cooperative query answering (2005) 0.22
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    Content
    Vgl.: http%3A%2F%2Fdigbib.ubka.uni-karlsruhe.de%2Fvolltexte%2Fdocuments%2F1627&ei=tAtYUYrBNoHKtQb3l4GYBw&usg=AFQjCNHeaxKkKU3-u54LWxMNYGXaaDLCGw&sig2=8WykXWQoDKjDSdGtAakH2Q&bvm=bv.44442042,d.Yms.
  14. DeRaedt, L.: Logical settings for concept-learning (1997) 0.07
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    Abstract
    Analyzes 3 different formalisations of concept-learning in logic. Learning from interpretations reduces to learning from entailment, which in turn reduces to learning from satisfiability. Discusses the implications for inductive logic programming and computational learning theory and formulates guidelines for choosing a problem-setting method
    Date
    6. 3.1997 16:22:15
    22. 1.1999 18:56:45
  15. Library of Congress rule interpretations : LCRI (1991) 0.05
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    Abstract
    Provides all valid LC rule interpretations issued since the AACR2 1988 revision. All rule numbers cited are referenced to AACR2 revision. Rule interpretations are written to ensure uniform and consistent application of cataloging rules set forth in AACR2. A revised index with each quarterly update highlights significant schanges
  16. Ranta, J.A.: Queens Borough Public Library's Guidelines for cataloging community information (1996) 0.05
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    Abstract
    Currently, few resources exist to guide libraries in the cataloguing of community information using the new USMARC Format for Cammunity Information (1993). In developing a community information database, Queens Borough Public Library, New York City, formulated their own cataloguing procedures for applying AACR2, LoC File Interpretations, and USMARC Format for Community Information to community information. Their practices include entering corporate names directly whenever possible and assigning LC subject headings for classes of persons and topics, adding neighbourhood level geographic subdivisions. The guidelines were specially designed to aid non cataloguers in cataloguing community information and have enabled library to maintain consistency in handling corporate names and in assigning subject headings, while creating database that is highly accessible to library staff and users
    Source
    Cataloging and classification quarterly. 22(1996) no.2, S.51-69
  17. Kim, S.H.; Eastman, C.M.: ¬An experiment on node size in a hypermedia system (1999) 0.05
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    Abstract
    The node size that should be used in a hypermedia system is an important design issue. 3 interpretations of node size are identified: storage (physical size), window size (presentation size), and length (logical size). an experiment in which presentation size and text length are varied in a HyperCard application is described. The experiment involves student subjects performing a fact retrieval task from a reference handbook. No interaction is found between these 2 independent variables. Performance is significantly better for the longer texts, but no significant difference is found for the 2 different window sizes
    Date
    22. 5.1999 9:35:20
  18. Priss, U.: Faceted knowledge representation (1999) 0.05
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    Abstract
    Faceted Knowledge Representation provides a formalism for implementing knowledge systems. The basic notions of faceted knowledge representation are "unit", "relation", "facet" and "interpretation". Units are atomic elements and can be abstract elements or refer to external objects in an application. Relations are sequences or matrices of 0 and 1's (binary matrices). Facets are relational structures that combine units and relations. Each facet represents an aspect or viewpoint of a knowledge system. Interpretations are mappings that can be used to translate between different representations. This paper introduces the basic notions of faceted knowledge representation. The formalism is applied here to an abstract modeling of a faceted thesaurus as used in information retrieval.
    Date
    22. 1.2016 17:30:31
  19. Talja, S.: ¬The social and discursive construction of computing skills (2005) 0.05
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    Abstract
    In this article a social constructionist approach to information technology (IT) literacy is introduced. This approach contributes to the literature an IT literacy by introducing the concept of IT self as a description of the momentary, context-dependent, and multilayered nature of interpretations of IT competencies. In the research litersture, IT literacy is offen defined as sets of basic skills to be learned, and competencies to be demonstrated. In line with this approach, research an IT competencies conventionally develops models for explaining user acceptance, and for measuring computer-related attitudes and skills. The assumption is that computerrelated attitudes and seif-efficacy impact IT adoption and success in computer use. Computer seif-efficacy measures are, however, often based an seif-assessments that measure interpretations of skills rather than performance in practice. An analysis of empirical interview data in which academic researchers discuss their relationships with computers and IT competence shows how a seif-assessment such as "computer anxiety" presented in one discussion context can in another discussion context be consigned to the past in favor of a different and more positive version. Here it is argued that descriptions of IT competencies and computer-related attitudes are dialogic social constructs and closely tied with more general implicit understandings of the nature of technical artifacts and technical knowledge. These implicit theories and assumptions are rarely taken under scrutiny in discussions of IT literacy yet they have profound implications for the aims and methods in teaching computer skills.
    Source
    Journal of the American Society for Information Science and Technology. 56(2005) no.1, S.13-22
  20. Will, L.: ¬The ISO 25964 data model for the structure of an information retrieval thesaurus (2012) 0.04
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    Abstract
    International standard ISO 25964-1:2011 - Thesauri for information retrieval, includes a detailed data model for thesaurus structure. It is intended to provide a rigorous presentation of the elements and relationships which will not only clarify and standardise the varying and conflicting interpretations which exist but which can also be implemented consistently in automated systems. It makes a clear distinction between concepts and the terms which are used to label them, and includes other features that may be present in a thesaurus, such as compound equivalence, arrays and node labels, concept groups, notes and version history.
    Theme
    Konzeption und Anwendung des Prinzips Thesaurus

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