Search (6 results, page 1 of 1)

  • × theme_ss:"Informetrie"
  • × author_ss:"Mayr, P."
  1. Mutschke, P.; Mayr, P.: Science models for search : a study on combining scholarly information retrieval and scientometrics (2015) 0.02 
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    Footnote
    Beitrag in einem Special Issue "Combining bibliometrics and information retrieval"
  2. Mayr, P.; Scharnhorst, A.: Scientometrics and information retrieval - weak-links revitalized (2015) 0.01 
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    Footnote
    Editorial zu einem Special Issue "Combining bibliometrics and information retrieval"
  3. Momeni, F.; Mayr, P.: Analyzing the research output presented at European Networked Knowledge Organization Systems workshops (2000-2015) (2016) 0.01 
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    Abstract
    In this paper we analyze a major part of the research output of the Networked Knowledge Organization Systems (NKOS) community in the period 2000 to 2015 from a network analytical perspective. We fo- cus on the paper output presented at the European NKOS workshops in the last 15 years. Our open dataset, the "NKOS bibliography", includes 14 workshop agendas (ECDL 2000-2010, TPDL 2011-2015) and 4 special issues on NKOS (2001, 2004, 2006 and 2015) which cover 171 papers with 218 distinct authors in total. A focus of the analysis is the visualization of co-authorship networks in this interdisciplinary eld. We used standard network analytic measures like degree and betweenness centrality to de- scribe the co-authorship distribution in our NKOS dataset. We can see in our dataset that 15% (with degree=0) of authors had no co-authorship with others and 53% of them had a maximum of 3 cooperations with other authors. 32% had at least 4 co-authors for all of their papers. The NKOS co-author network in the "NKOS bibliography" is a typical co- authorship network with one relatively large component, many smaller components and many isolated co-authorships or triples.
    Content
    Vgl.: http://ceur-ws.org/Vol-1676/paper1.pdf. Other workshop material incl. presentations are available on the website < https://at-web1.comp.glam.ac.uk/pages/research/hypermedia/nkos/nkos2016/programme.html>.
    Source
    Proceedings of the 15th European Networked Knowledge Organization Systems Workshop (NKOS 2016) co-located with the 20th International Conference on Theory and Practice of Digital Libraries 2016 (TPDL 2016), Hannover, Germany, September 9, 2016. Edi. by Philipp Mayr et al. [http://ceur-ws.org/Vol-1676/=urn:nbn:de:0074-1676-5]
  4. Mayr, P.: Information Retrieval-Mehrwertdienste für Digitale Bibliotheken: : Crosskonkordanzen und Bradfordizing (2010) 0.01 
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    RSWK
    Dokumentationssprache / Heterogenität / Information Retrieval / Ranking / Evaluation
    Subject
    Dokumentationssprache / Heterogenität / Information Retrieval / Ranking / Evaluation
  5. Mayr, P.; Umstätter, W.: ¬Eine bibliometrische Zeitschriftenanalyse mit Jol Scientrometrics und NfD bzw. IWP (2008) 0.00 
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    Abstract
    In der Studie sind 3.889 Datensätze analysiert worden, die im Zeitraum 1976-2004 in der Datenbank Library and Information Science Abstracts (LISA) im Forschungsbereich der Informetrie nachgewiesen sind und das Wachstum auf diesem Gebiet belegen. Die Studie zeigt anhand einer Bradford-Verteilung (power law) die Kernzeitschriften in diesem Feld und bestätigt auf der Basis dieses LISA-Datensatzes, dass die Gründung einer neuen Zeitschrift, "Journals of Informetrics" (JoI), 2007 etwa zur rechten Zeit erfolgte. Im Verhältnis dazu wird die Entwicklung der Zeitschrift Scientometrics betrachtet und auch die der "Nachrichten für Dokumentation" (NfD) bzw. "Information - Wissenschaft und Praxis" (IWP).
  6. Mayr, P.: Bradfordizing als Re-Ranking-Ansatz in Literaturinformationssystemen (2011) 0.00 
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    Abstract
    In diesem Artikel wird ein Re-Ranking-Ansatz für Suchsysteme vorgestellt, der die Recherche nach wissenschaftlicher Literatur messbar verbessern kann. Das nichttextorientierte Rankingverfahren Bradfordizing wird eingeführt und anschließend im empirischen Teil des Artikels bzgl. der Effektivität für typische fachbezogene Recherche-Topics evaluiert. Dem Bradford Law of Scattering (BLS), auf dem Bradfordizing basiert, liegt zugrunde, dass sich die Literatur zu einem beliebigen Fachgebiet bzw. -thema in Zonen unterschiedlicher Dokumentenkonzentration verteilt. Dem Kernbereich mit hoher Konzentration der Literatur folgen Bereiche mit mittlerer und geringer Konzentration. Bradfordizing sortiert bzw. rankt eine Dokumentmenge damit nach den sogenannten Kernzeitschriften. Der Retrievaltest mit 164 intellektuell bewerteten Fragestellungen in Fachdatenbanken aus den Bereichen Sozial- und Politikwissenschaften, Wirtschaftswissenschaften, Psychologie und Medizin zeigt, dass die Dokumente der Kernzeitschriften signifikant häufiger relevant bewertet werden als Dokumente der zweiten Dokumentzone bzw. den Peripherie-Zeitschriften. Die Implementierung von Bradfordizing und weiteren Re-Rankingverfahren liefert unmittelbare Mehrwerte für den Nutzer.

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