Search (31 results, page 1 of 2)

  • × language_ss:"e"
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  • × year_i:[2010 TO 2020}
  1. Kleineberg, M.: Context analysis and context indexing : formal pragmatics in knowledge organization (2014) 0.02 
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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. Hollink, L.; Assem, M. van: Estimating the relevance of search results in the Culture-Web : a study of semantic distance measures (2010) 0.01 
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    Date
    29. 7.2011 14:44:56
    26.12.2011 13:40:22
  3. Tavakolizadeh-Ravari, M.: Analysis of the long term dynamics in thesaurus developments and its consequences (2017) 0.01 
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    Abstract
    Die Arbeit analysiert die dynamische Entwicklung und den Gebrauch von Thesaurusbegriffen. Zusätzlich konzentriert sie sich auf die Faktoren, die die Zahl von Indexbegriffen pro Dokument oder Zeitschrift beeinflussen. Als Untersuchungsobjekt dienten der MeSH und die entsprechende Datenbank "MEDLINE". Die wichtigsten Konsequenzen sind: 1. Der MeSH-Thesaurus hat sich durch drei unterschiedliche Phasen jeweils logarithmisch entwickelt. Solch einen Thesaurus sollte folgenden Gleichung folgen: "T = 3.076,6 Ln (d) - 22.695 + 0,0039d" (T = Begriffe, Ln = natürlicher Logarithmus und d = Dokumente). Um solch einen Thesaurus zu konstruieren, muss man demnach etwa 1.600 Dokumente von unterschiedlichen Themen des Bereiches des Thesaurus haben. Die dynamische Entwicklung von Thesauri wie MeSH erfordert die Einführung eines neuen Begriffs pro Indexierung von 256 neuen Dokumenten. 2. Die Verteilung der Thesaurusbegriffe erbrachte drei Kategorien: starke, normale und selten verwendete Headings. Die letzte Gruppe ist in einer Testphase, während in der ersten und zweiten Kategorie die neu hinzukommenden Deskriptoren zu einem Thesauruswachstum führen. 3. Es gibt ein logarithmisches Verhältnis zwischen der Zahl von Index-Begriffen pro Aufsatz und dessen Seitenzahl für die Artikeln zwischen einer und einundzwanzig Seiten. 4. Zeitschriftenaufsätze, die in MEDLINE mit Abstracts erscheinen erhalten fast zwei Deskriptoren mehr. 5. Die Findablity der nicht-englisch sprachigen Dokumente in MEDLINE ist geringer als die englische Dokumente. 6. Aufsätze der Zeitschriften mit einem Impact Factor 0 bis fünfzehn erhalten nicht mehr Indexbegriffe als die der anderen von MEDINE erfassten Zeitschriften. 7. In einem Indexierungssystem haben unterschiedliche Zeitschriften mehr oder weniger Gewicht in ihrem Findability. Die Verteilung der Indexbegriffe pro Seite hat gezeigt, dass es bei MEDLINE drei Kategorien der Publikationen gibt. Außerdem gibt es wenige stark bevorzugten Zeitschriften."
  4. Snajder, J.: Distributional semantics of multi-word expressions (2013) 0.01 
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    Date
    29. 4.2016 12:04:50
  5. Aslam, S.; Sonkar, S.K.: Semantic Web : an overview (2019) 0.00 
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    Date
    10.12.2020 9:29:12
  6. Bates, M.J.: ¬The nature of browsing (2019) 0.00 
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    Date
    25. 6.2019 11:13:29
  7. Stoykova, V.; Petkova, E.: Automatic extraction of mathematical terms for precalculus (2012) 0.00 
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    Date
    29. 5.2012 10:17:08
  8. Godfrey, B.; Johnson, J.: ¬The geospatial metadata manager's toolbox : three techniques for maintaining records (2015) 0.00 
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    Source
    Code4Lib journal. Issue 29(2015), [http://journal.code4lib.org/issues/issues/issue29]
  9. Riva, P.; Boeuf, P. le; Zumer, M.: IFLA Library Reference Model : a conceptual model for bibliographic information (2017) 0.00 
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    Date
    19. 3.2019 12:26:29
  10. Teal, W.: Alma enumerator : automating repetitive cataloging tasks with Python (2018) 0.00 
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    Date
    10.11.2018 16:29:37
  11. Guidi, F.; Sacerdoti Coen, C.: ¬A survey on retrieval of mathematical knowledge (2015) 0.00 
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    Date
    22. 2.2017 12:51:57
  12. Sojka, P.; Liska, M.: ¬The art of mathematics retrieval (2011) 0.00 
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    Content
    Vgl.: DocEng2011, September 19-22, 2011, Mountain View, California, USA Copyright 2011 ACM 978-1-4503-0863-2/11/09
    Date
    22. 2.2017 13:00:42
  13. O'Neill, E.T.; Bennett, R.; Kammerer, K.: Using authorities to improve subject searches (2012) 0.00 
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    Date
    29. 5.2015 20:57:41
  14. Clark, J.A.; Young, S.W.H.: Building a better book in the browser : using Semantic Web technologies and HTML5 (2015) 0.00 
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    Source
    Code4Lib journal. Issue 29(2015), [http://journal.code4lib.org/issues/issues/issue29]
  15. Banerjee, K.; Johnson, M.: Improving access to archival collections with automated entity extraction (2015) 0.00 
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    Source
    Code4Lib journal. Issue 29(2015), [http://journal.code4lib.org/issues/issues/issue29]
  16. Snajder, J.; Almic, P.: Modeling semantic compositionality of Croatian multiword expressions (2015) 0.00 
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    Date
    29. 4.2016 12:42:17
  17. Mitchell, J.S.; Zeng, M.L.; Zumer, M.: Modeling classification systems in multicultural and multilingual contexts (2012) 0.00 
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    Abstract
    This paper reports on the second part of an initiative of the authors on researching classification systems with the conceptual model defined by the Functional Requirements for Subject Authority Data (FRSAD) final report. In an earlier study, the authors explored whether the FRSAD conceptual model could be extended beyond subject authority data to model classification data. The focus of the current study is to determine if classification data modeled using FRSAD can be used to solve real-world discovery problems in multicultural and multilingual contexts. The paper discusses the relationships between entities (same type or different types) in the context of classification systems that involve multiple translations and /or multicultural implementations. Results of two case studies are presented in detail: (a) two instances of the DDC (DDC 22 in English, and the Swedish-English mixed translation of DDC 22), and (b) Chinese Library Classification. The use cases of conceptual models in practice are also discussed.
  18. Bensman, S.J.: Eugene Garfield, Francis Narin, and PageRank : the theoretical bases of the Google search engine (2013) 0.00 
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    Date
    17.12.2013 11:02:22
  19. Assem, M. van; Rijgersberg, H.; Wigham, M.; Top, J.: Converting and annotating quantitative data tables (2010) 0.00 
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    Date
    29. 7.2011 14:44:56
  20. Dietze, S.; Maynard, D.; Demidova, E.; Risse, T.; Stavrakas, Y.: Entity extraction and consolidation for social Web content preservation (2012) 0.00 
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    Pages
    S.18-29

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