Search (829 results, page 41 of 42)

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  1. Signoles, A.; Bitoun, C.; Valderrama, A.: Implementing FRBR to improve retrieval of in-house information in a medium-sized international institute (2012) 0.00 
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    Date
    27. 5.2015 21:00:28
  2. Doerr, M.; Riva, P.; Zumer, M.: FRBR entities : identity and identification (2012) 0.00 
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    27. 5.2015 21:01:07
  3. Riva, P.; Oliver, C.: Evaluation of RDA as an implementation of FRBR and FRAD (2012) 0.00 
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    27. 5.2015 21:01:18
  4. Jones, E.: RDA and serials cataloguing (2013) 0.00 
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    Content
    Introduction to serials and serials cataloguing - Getting to know RDA: changes from AACR2 - Searching and the universe of serials - Cataloguing serials and ongoing integrating resources using RDA - General instructions relating to serials cataloguing using RDA and MARC 21 - Attributes of resources (Manifestations and Items and the Works and Expressions they embody) - Relationships between resources - Identifying Works and Expressions - Identifying related entities - Online serials and CONSER provider-neutral records - Ongoing integrating resources - RDA and Linked Data
  5. ¬The discipline of organizing (2013) 0.00 
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    Date
    21. 1.2015 20:35:34
  6. Piros, A.: Automatic interpretation of complex UDC numbers : towards support for library systems (2015) 0.00 
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    Date
    5.11.2015 21:43:18
  7. Wang, S.; Koopman, R.: Second life for authority records (2015) 0.00 
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    5.11.2015 21:43:18
  8. 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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    5.11.2015 21:43:18
  9. Martínez-Ávila, D.; Smiraglia, R.; Lee, H.-L.; Fox, M.: What is an author now? (2015) 0.00 
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    Date
    13.11.2015 21:28:31
  10. Lavranos, C.; Kostagiolas, P.A.; Martzoukou, K.; Papadatos, J.: Music information seeking behaviour as motivator for musical creativity : conceptual analysis and literature review (2015) 0.00 
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    Date
    13.11.2015 21:25:57
  11. Coates, H.L.: Library and information science research literature is chiefly descriptive and relies heavily on survey and content analysis methods (2015) 0.00 
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    Date
    30.12.2015 18:21:38
  12. Petric, T.: Bibliographic organisation of continuing resources in relation to the IFLA models : research within the Croatian corpus of continuing resources (2016) 0.00 
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    Date
    17. 5.2016 21:51:26
  13. Wissen - Wissenschaft - Organisation : Proceedings der 12. Tagung der Deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation Bonn, 19. bis 21. Oktober 2009 (2013) 0.00 
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  14. Chalmers, D.J.: Constructing the world (2012) 0.00 
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    Date
    21. 8.2018 18:56:10
  15. Li, X.; Schijvenaars, B.J.A.; Rijke, M.de: Investigating queries and search failures in academic search (2017) 0.00 
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    Date
    10. 2.2017 14:21:18
  16. Vo, D.-T.; Bagheri, E.: Feature-enriched matrix factorization for relation extraction (2019) 0.00 
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    Abstract
    Relation extraction aims at finding meaningful relationships between two named entities from within unstructured textual content. In this paper, we define the problem of information extraction as a matrix completion problem where we employ the notion of universal schemas formed as a collection of patterns derived from open information extraction systems as well as additional features derived from grammatical clause patterns and statistical topic models. One of the challenges with earlier work that employ matrix completion methods is that such approaches require a sufficient number of observed relation instances to be able to make predictions. However, in practice there is often insufficient number of explicit evidence supporting each relation type that could be used within the matrix model. Hence, existing work suffer from a low recall. In our work, we extend the work in the state of the art by proposing novel ways of integrating two sets of features, i.e., topic models and grammatical clause structures, for alleviating the low recall problem. More specifically, we propose that it is possible to (1) employ grammatical clause information from textual sentences to serve as an implicit indication of relation type and argument similarity. The basis for this is that it is likely that similar relation types and arguments are observed within similar grammatical structures, and (2) benefit from statistical topic models to determine similarity between relation types and arguments. We employ statistical topic models to determine relation type and argument similarity based on their co-occurrence within the same topics. We have performed extensive experiments based on both gold standard and silver standard datasets. The experiments show that our approach has been able to address the low recall problem in existing methods, by showing an improvement of 21% on recall and 8% on f-measure over the state of the art baseline.
  17. Sakr, S.; Wylot, M.; Mutharaju, R.; Le-Phuoc, D.; Fundulaki, I.: Linked data : storing, querying, and reasoning (2018) 0.00 
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    Date
    7. 7.2019 11:59:21
  18. Horton Jr., F.W(oody).: Information literacy advocacy : Woody's ten commandments (2011) 0.00 
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    Date
    11.12.2019 17:21:24
  19. Affelt, A.: All that's not fit to print : fake news and the call to action for librarians and information professionals (2019) 0.00 
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    Date
    21. 1.2021 12:39:18
  20. Badia, A.: ¬The information manifold : why computers cannot solve algorithmic bias and fake news (2019) 0.00 
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    Date
    8. 3.2021 21:13:01

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