Search (11 results, page 1 of 1)

  • × year_i:[2010 TO 2020}
  • × author_ss:"Mayr, P."
  1. 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"
  2. Mutschke, P.; Mayr, P.: Science models for search : a study on combining scholarly information retrieval and scientometrics (2015) 0.01 
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    Footnote
    Beitrag in einem Special Issue "Combining bibliometrics and information retrieval"
  3. Mayr, P.; Schaer, P.; Mutschke, P.: ¬A science model driven retrieval prototype (2011) 0.01 
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    Abstract
    This paper is about a better understanding of the structure and dynamics of science and the usage of these insights for compensating the typical problems that arises in metadata-driven Digital Libraries. Three science model driven retrieval services are presented: co-word analysis based query expansion, re-ranking via Bradfordizing and author centrality. The services are evaluated with relevance assessments from which two important implications emerge: (1) precision values of the retrieval services are the same or better than the tf-idf retrieval baseline and (2) each service retrieved a disjoint set of documents. The different services each favor quite other - but still relevant - documents than pure term-frequency based rankings. The proposed models and derived retrieval services therefore open up new viewpoints on the scientific knowledge space and provide an alternative framework to structure scholarly information systems.
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  4. Mayr, P.; Mutschke, P.; Petras, V.; Schaer, P.; Sure, Y.: Applying science models for search (2010) 0.01 
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    Abstract
    The paper proposes three different kinds of science models as value-added services that are integrated in the retrieval process to enhance retrieval quailty. The paper discusses the approaches Search Term Recommendation, Bradfordizing and Author Centrality on a general level and addresses implementation issues of the models within a real-life retrieval environment.
    Source
    Information und Wissen: global, sozial und frei? Proceedings des 12. Internationalen Symposiums für Informationswissenschaft (ISI 2011) ; Hildesheim, 9. - 11. März 2011. Hrsg.: J. Griesbaum, T. Mandl u. C. Womser-Hacker
  5. 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
  6. Mayr, P.; Mutschke, P.; Schaer, P.; Sure, Y.: Mehrwertdienste für das Information Retrieval (2013) 0.01 
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    Abstract
    Ziel des Projekts ist die Entwicklung und Erprobung von metadatenbasierten Mehr-wertdiensten für Retrievalumgebungen mit mehreren Datenbanken: a) Search Term Recommender (STR) als Dienst zum automatischen Vorschlagen von Suchbegriffen aus kontrollierten Vokabularen, b) Bradfordizing als Dienst zum Re-Ranking von Ergebnismengen nach Kernzeitschriften und c) Autorenzentralität als Dienst zum Re-Ranking von. Ergebnismengen nach Zentralität der Autoren in Autorennetzwerken. Schwerpunkt des Projektes ist die prototypische mplementierung der drei Mehrwertdienste in einer integrierten Retrieval-Testumgebung und insbesondere deren quantitative und qualitative Evaluation hinsichtlich Verbesserung der Retrievalqualität bei Einsatz der Mehrwertdienste.
  7. Schaer, P.; Mayr, P.; Sünkler, S.; Lewandowski, D.: How relevant is the long tail? : a relevance assessment study on million short (2016) 0.01 
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    Abstract
    Users of web search engines are known to mostly focus on the top ranked results of the search engine result page. While many studies support this well known information seeking pattern only few studies concentrate on the question what users are missing by neglecting lower ranked results. To learn more about the relevance distributions in the so-called long tail we conducted a relevance assessment study with the Million Short long-tail web search engine. While we see a clear difference in the content between the head and the tail of the search engine result list we see no statistical significant differences in the binary relevance judgments and weak significant differences when using graded relevance. The tail contains different but still valuable results. We argue that the long tail can be a rich source for the diversification of web search engine result lists but it needs more evaluation to clearly describe the differences.
  8. Mayr, P.; Zapilko, B.; Sure, Y.: ¬Ein Mehr-Thesauri-Szenario auf Basis von SKOS und Crosskonkordanzen (2010) 0.00 
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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).
  9. Reichert, S.; Mayr, P.: Untersuchung von Relevanzeigenschaften in einem kontrollierten Eyetracking-Experiment (2012) 0.00 
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    Abstract
    In diesem Artikel wird ein Eyetracking-Experiment beschrieben, bei dem untersucht wurde, wann und auf Basis welcher Informationen Relevanzentscheidungen bei der themenbezogenen Dokumentenbewertung fallen und welche Faktoren auf die Relevanzentscheidung einwirken. Nach einer kurzen Einführung werden relevante Studien aufgeführt, in denen Eyetracking als Untersuchungsmethode für Interaktionsverhalten mit Ergebnislisten (Information Seeking Behavior) verwendet wurde. Nutzerverhalten wird hierbei vor allem durch unterschiedliche Aufgaben-Typen, dargestellte Informationen und durch das Ranking eines Ergebnisses beeinflusst. Durch EyetrackingUntersuchungen lassen sich Nutzer außerdem in verschiedene Klassen von Bewertungs- und Lesetypen einordnen. Diese Informationen können als implizites Feedback genutzt werden, um so die Suche zu personalisieren und um die Relevanz von Suchergebnissen ohne aktives Zutun des Users zu erhöhen. In einem explorativen Eyetracking-Experiment mit 12 Studenten der Hochschule Darmstadt werden anhand der Länge der Gesamtbewertung, Anzahl der Fixationen, Anzahl der besuchten Metadatenelemente und Länge des Scanpfades zwei typische Bewertungstypen identifiziert. Das Metadatenfeld Abstract wird im Experiment zuverlässig als wichtigste Dokumenteigenschaft für die Zuordnung von Relevanz ermittelt.
    Date
    22. 7.2012 19:25:54
    Source
    Information - Wissenschaft und Praxis. 63(2012) H.3, S.145-156
  10. Carevic, Z.; Krichel, T.; Mayr, P.: Assessing a human mediated current awareness service (2015) 0.00 
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    Source
    Re:inventing information science in the networked society: Proceedings of the 14th International Symposium on Information Science, Zadar/Croatia, 19th-21st May 2015. Eds.: F. Pehar, C. Schloegl u. C. Wolff
  11. Mayr, P.: Bradfordizing als Re-Ranking-Ansatz in Literaturinformationssystemen (2011) 0.00 
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    Source
    Information - Wissenschaft und Praxis. 62(2011) H.1, S.3-10

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