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  1. Mayr, P.; Zapilko, B.; Sure, Y.: ¬Ein Mehr-Thesauri-Szenario auf Basis von SKOS und Crosskonkordanzen (2010) 0.01
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    Abstract
    Im August 2009 wurde SKOS "Simple Knowledge Organization System" als neuer Standard für web-basierte kontrollierte Vokabulare durch das W3C veröffentlicht1. SKOS dient als Datenmodell, um kontrollierte Vokabulare über das Web anzubieten sowie technisch und semantisch interoperabel zu machen. Perspektivisch kann die heterogene Landschaft der Erschließungsvokabulare über SKOS vereinheitlicht und vor allem die Inhalte der klassischen Datenbanken (Bereich Fachinformation) für Anwendungen des Semantic Web, beispielsweise als Linked Open Data2 (LOD), zugänglich und stär-ker miteinander vernetzt werden. Vokabulare im SKOS-Format können dabei eine relevante Funktion einnehmen, indem sie als standardisiertes Brückenvokabular dienen und semantische Verlinkung zwischen erschlossenen, veröffentlichten Daten herstellen. Die folgende Fallstudie skizziert ein Szenario mit drei thematisch verwandten Thesauri, die ins SKOS-Format übertragen und inhaltlich über Crosskonkordanzen aus dem Projekt KoMoHe verbunden werden. Die Mapping Properties von SKOS bieten dazu standardisierte Relationen, die denen der Crosskonkordanzen entsprechen. Die beteiligten Thesauri der Fallstudie sind a) TheSoz (Thesaurus Sozialwissenschaften, GESIS), b) STW (Standard-Thesaurus Wirtschaft, ZBW) und c) IBLK-Thesaurus (SWP).
    Footnote
    Beitrag für: 25. Oberhofer Kolloquium 2010: Recherche im Google-Zeitalter - Vollständig und präzise!?.
  2. Mayr, P.; Petras, V.: Crosskonkordanzen : Terminologie Mapping und deren Effektivität für das Information Retrieval 0.01
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    Abstract
    Das Bundesministerium für Bildung und Forschung hat eine große Initiative zur Erstellung von Crosskonkordanzen gefördert, die 2007 zu Ende geführt wurde. Die Aufgabe dieser Initiative war die Organisation, die Erstellung und das Management von Crosskonkordanzen zwischen kontrollierten Vokabularen (Thesauri, Klassifikationen, Deskriptorenlisten) in den Sozialwissenschaften und anderen Fachgebieten. 64 Crosskonkordanzen mit mehr als 500.000 Relationen wurden umgesetzt. In der Schlussphase des Projekts wurde eine umfangreiche Evaluation durchgeführt, die die Effektivität der Crosskonkordanzen in unterschiedlichen Informationssystemen testen sollte. Der Artikel berichtet über die Crosskonkordanz-Arbeit und die Evaluationsergebnisse.
  3. Mayr, P.; Walter, A.-K.: Zum Stand der Heterogenitätsbehandlung in vascoda : Bestandsaufnahme und Ausblick (2007) 0.00
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    Abstract
    Der Beitrag stellt das Verfahren zur Erstellung von Crosskonkordanzen (CK) im Projekt "Kompetenznetzwerk Modellbildung und Heterogenitätsbehandlung" (KoMoHe)1 sowie das Netz der bis dato entstandenen Terminologie-Überstiege vor. Neben CK zwischen Indexierungssprachen innerhalb eines Anwendungsgebiets (z.B. Sozial- und Politikwissenschaften), werden Termbeispiele vorgestellt, die Fächer unterschiedlicher Fachgebiete verknüpfen. Es werden weiterhin typische Einsatzszenarien der CK innerhalb von Informationssystemen präsentiert. Die am IZ entstandenen CK sollen künftig über einen Terminologie-Service als Web Service genutzt werden. Der sog. Heterogenitätsservice, der als Term-Umschlüsselungs-Dienst fungieren soll, wird exemplarisch anhand konkreter Fragestellungen vorgeführt.
  4. Mayr, P.; Walter, A.-K.: Einsatzmöglichkeiten von Crosskonkordanzen (2007) 0.00
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    Abstract
    Der Beitrag stellt Einsatzmöglichkeiten und spezifische Problembereiche von Crosskonkordanzen (CK) im Projekt "Kompetenznetzwerk Modellbildung und Heterogenitätsbehand lung" (KoMoHe) so wie das Netz der bis dato entstandenen Terminologie-Überstiege vor. Die am IZ entstandenen CK sollen künftig über einen Terminologie-Service als Web Service genutzt werden, dieser wird im Beitrag exemplarisch vorgestellt. Des Weiteren wird ein Testszenario samt Evaluationsdesign beschrieben über das der Mehrwert von Crosskonkordanzen empirisch untersucht werden kann.
  5. Hobert, A.; Jahn, N.; Mayr, P.; Schmidt, B.; Taubert, N.: Open access uptake in Germany 2010-2018 : adoption in a diverse research landscape (2021) 0.00
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    Abstract
    Es handelt sich um eine bibliometrische Untersuchung der Entwicklung der Open-Access-Verfügbarkeit wissenschaftlicher Zeitschriftenartikel in Deutschland, die im Zeitraum 2010-18 erschienen und im Web of Science indexiert sind. Ein besonderes Augenmerk der Analyse lag auf der Frage, ob und inwiefern sich die Open-Access-Profile der Universitäten und außeruniversitären Wissenschaftseinrichtungen in Deutschland voneinander unterscheiden.
    Footnote
    Den Aufsatz begleitet ein interaktives Datensupplement, mit dem sich die OA-Anteile auf Ebene der Einrichtung vergleichen lassen. https://subugoe.github.io/oauni/articles/supplement.html. Die Arbeit entstand in Zusammenarbeit der BMBF-Projekte OAUNI und OASE der Förderlinie "Quantitative Wissenschaftsforschung". https://www.wihoforschung.de/de/quantitative-wissenschaftsforschung-1573.php.
  6. Mayr, P.; Petras, V.: Cross-concordances : terminology mapping and its effectiveness for information retrieval (2008) 0.00
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    Date
    26.12.2011 13:33:29
  7. Momeni, F.; Mayr, P.: Analyzing the research output presented at European Networked Knowledge Organization Systems workshops (2000-2015) (2016) 0.00
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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.