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  • × author_ss:"Mayr, P."
  1. Mayr, P.; Walter, A.-K.: Mapping Knowledge Organization Systems (2008) 0.02
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    Pages
    S.80-95
    Source
    Kompatibilität, Medien und Ethik in der Wissensorganisation - Compatibility, Media and Ethics in Knowledge Organization: Proceedings der 10. Tagung der Deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation Wien, 3.-5. Juli 2006 - Proceedings of the 10th Conference of the German Section of the International Society of Knowledge Organization Vienna, 3-5 July 2006. Ed.: H.P. Ohly, S. Netscher u. K. Mitgutsch
    Type
    a
  2. Mayr, P.: Thesauri, Klassifikationen & Co - die Renaissance der kontrollierten Vokabulare? (2006) 0.02
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    Abstract
    Der Beitrag beschäftigt sich mit aktuellen Entwicklungen im Bereich des Terminologie Mapping zwischen kontrollierten Vokabularen. Die unterschiedlichen Typen und Ausprägungen von kontrollierten Vokabularen - Thesauri, Klassifikationen, Schlagwortnormdaten und kontrollierte Schlagwortlisten - dienen hauptsächlich der inhaltlichen Erschließung von Literatur und anderen Dokumenttypen und werden u. a. in Datenbanksystemen bei der Deskriptorensuche und zum Browsing angeboten. Die Zusammenführung der heterogenen Indexierungssprachen bei der übergreifenden Datenbankrecherche (crossdatabase retrieval) führt jedoch zu Problemen bei der semantischen Integration der zugrunde liegenden Bestände. Der Beitrag stellt in diesem Kontext den Ansatz sowie die bisherigen Ergebnisse des Projekts" Modellbildung und Heterogenitätsbehandlung" vor. Im Anschluss wird auf Bradford's Law of Scattering (BLS) sowie abgeleitete Einsatzmöglichkeiten des BLS im Projekt Bezug genommen: 1) BLS zur Untersuchung der Auswirkungen der Heterogenitätsbehandlung, 2) BLS bzw. Bradfordizing als alternativer, informationswissenschaftlich begründeter Zugangsmechanismus für Zeitschriftenartikel.
    Pages
    S.151-170
    Source
    Vom Wandel der Wissensorganisation im Informationszeitalter: Festschrift für Walther Umstätter zum 65. Geburtstag, hrsg. von P. Hauke u. K. Umlauf
    Type
    a
  3. Mayr, P.; Walter, A.-K.: Abdeckung und Aktualität des Suchdienstes Google Scholar (2006) 0.01
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    Source
    Information - Wissenschaft und Praxis. 57(2006) H.3, S.133-140
    Type
    a
  4. Carevic, Z.; Krichel, T.; Mayr, P.: Assessing a human mediated current awareness service (2015) 0.01
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    Pages
    S.166-177
    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
    Type
    a
  5. Daniel, F.; Maier, C.; Mayr, P.; Wirtz, H.-C.: ¬Die Kunden dort bedienen, wo sie sind : DigiAuskunft besteht Bewährungsprobe / Seit Anfang 2006 in Betrieb (2006) 0.01
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    Date
    8. 7.2006 21:06:22
    Source
    BuB. 58(2006) H.7/8, S.558-561
    Type
    a
  6. 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.
    Pages
    S.111-121
    Source
    Concepts in context: Proceedings of the Cologne Conference on Interoperability and Semantics in Knowledge Organization July 19th - 20th, 2010. Eds.: F. Boteram, W. Gödert u. J. Hubrich
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
    Type
    a
  7. 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.
    Pages
    S.184-196
    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
    Type
    a
  8. Reichert, S.; Mayr, P.: Untersuchung von Relevanzeigenschaften in einem kontrollierten Eyetracking-Experiment (2012) 0.01
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    Date
    22. 7.2012 19:25:54
    Source
    Information - Wissenschaft und Praxis. 63(2012) H.3, S.145-156
    Type
    a
  9. Mayr, P.: Google Scholar als akademische Suchmaschine (2009) 0.01
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    Abstract
    Neben den klassischen Informationsanbietern Bibliothek, Fachinformation und den Verlagen sind Internetsuchmaschinen inzwischen fester Bestandteil bei der Recherche nach wissenschaftlicher Information. Scirus (Elsevier, 2004) und Google Scholar sind zwei Beispiele für Suchdienste kommerzieller Suchmaschinen-Unternehmen, die eine Einschränkung auf den wissenschaftlichen Dokumentenraum anstreben und nennenswerte Dokumentzahlen in allen Disziplinen generieren. Der Vergleich der Treffermengen für beliebige Suchthemen zeigt, dass die Wahl des Suchsystems, des Dokumentenpools und der Dokumenttypen entscheidenden Einfluss auf die Relevanz und damit letztlich auch die Akzeptanz des Suchergebnisses hat. Tabelle 1 verdeutlicht die Mengenunterschiede am Beispiel der Trefferergebnisse für die Suchbegriffe "search engines" bzw. "Suchmaschinen" in der allgemeinen Internetsuchmaschine Google, der wissenschaftlichen Suchmaschine Google Scholar (GS) und der größten fachübergreifenden bibliographischen Literaturdatenbank Web of Science (WoS). Der Anteil der Dokumente, die in diesem Fall eindeutig der Wissenschaft zuzuordnen sind (siehe GS und insbesondere WoS in Tabelle 1), liegt gegenüber der allgemeinen Websuche lediglich im Promille-Bereich. Dieses Beispiel veranschaulicht, dass es ausgesprochen problematisch sein kann, fachwissenschaftliche Fragestellungen ausschließlich mit Internetsuchmaschinen zu recherchieren. Der Anteil der fachwissenschaftlich relevanten Dokumente in diesem Trefferpool ist i. d. R. sehr gering. Damit sinkt die Wahrscheinlichkeit, wissenschaftlich relevantes (z. B. einen Zeitschriftenaufsatz) auf den ersten Trefferseiten zu finden, deutlich ab.
    Source
    Mitteilungen der Vereinigung Österreichischer Bibliothekarinnen und Bibliothekare. 62(2009) H.2, S.19-28
    Type
    a
  10. Mayr, P.; Petras, V.: Building a Terminology Network for Search : the KoMoHe project (2008) 0.01
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    Abstract
    The paper reports about results on the GESIS-IZ project "Competence Center Modeling and Treatment of Semantic Heterogeneity" (KoMoHe). KoMoHe supervised a terminology mapping effort, in which 'cross-concordances' between major controlled vocabularies were organized, created and managed. In this paper we describe the establishment and implementation of crossconcordances for search in a digital library (DL).
    Pages
    S.177-182
    Source
    Metadata for semantic and social applications : proceedings of the International Conference on Dublin Core and Metadata Applications, Berlin, 22 - 26 September 2008, DC 2008: Berlin, Germany / ed. by Jane Greenberg and Wolfgang Klas
    Type
    a
  11. Lauser, B.; Johannsen, G.; Caracciolo, C.; Hage, W.R. van; Keizer, J.; Mayr, P.: Comparing human and automatic thesaurus mapping approaches in the agricultural domain (2008) 0.00
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    Abstract
    Knowledge organization systems (KOS), like thesauri and other controlled vocabularies, are used to provide subject access to information systems across the web. Due to the heterogeneity of these systems, mapping between vocabularies becomes crucial for retrieving relevant information. However, mapping thesauri is a laborious task, and thus big efforts are being made to automate the mapping process. This paper examines two mapping approaches involving the agricultural thesaurus AGROVOC, one machine-created and one human created. We are addressing the basic question "What are the pros and cons of human and automatic mapping and how can they complement each other?" By pointing out the difficulties in specific cases or groups of cases and grouping the sample into simple and difficult types of mappings, we show the limitations of current automatic methods and come up with some basic recommendations on what approach to use when.
    Pages
    S.43-53
    Source
    Metadata for semantic and social applications : proceedings of the International Conference on Dublin Core and Metadata Applications, Berlin, 22 - 26 September 2008, DC 2008: Berlin, Germany / ed. by Jane Greenberg and Wolfgang Klas
    Type
    a
  12. Mayr, P.: DigiLink - Die dritte Generation der Linklisten (2005) 0.00
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    Source
    B.I.T.online. 8(2005) H.2, S.139-142
    Type
    a
  13. Mayr, P.: ¬Die virtuelle Steinsuppe : kooperatives Verwalten von elektronischen Ressourcen mit Digilink (2007) 0.00
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    Pages
    S.243-247
    Source
    Wa(h)re Information: 29. Österreichischer Bibliothekartag Bregenz, 19.-23.9.2006. Hrsg.: Harald Weigel
    Type
    a
  14. Mayr, P.; Tosques, F.: Webometrische Analysen mit Hilfe der Google Web APIs (2005) 0.00
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    Source
    Information - Wissenschaft und Praxis. 56(2005) H.1, S.41-48
    Type
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  15. Mayr, P.; Umstätter, W.: ¬Eine bibliometrische Zeitschriftenanalyse mit Jol Scientrometrics und NfD bzw. IWP (2008) 0.00
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    Source
    Information - Wissenschaft und Praxis. 59(2008) H.6/7, S.353-360
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  16. 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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  17. Mayr, P.: Bradfordizing mit Katalogdaten : Alternative Sicht auf Suchergebnisse und Publikationsquellen durch Re-Ranking (2010) 0.00
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    Source
    BuB. 62(2010) H.1, S.61-63
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  18. Mayr, P.; Scharnhorst, A.: Scientometrics and information retrieval - weak-links revitalized (2015) 0.00
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    Source
    Scientometrics. 102(2015) no.3, S.2193-2199
    Type
    a
  19. Mutschke, P.; Mayr, P.: Science models for search : a study on combining scholarly information retrieval and scientometrics (2015) 0.00
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    Source
    Scientometrics. 102(2015) no.3, S.2323-2345
    Type
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  20. Daquino, M.; Peroni, S.; Shotton, D.; Colavizza, G.; Ghavimi, B.; Lauscher, A.; Mayr, P.; Romanello, M.; Zumstein, P.: ¬The OpenCitations Data Model (2020) 0.00
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    Abstract
    A variety of schemas and ontologies are currently used for the machine-readable description of bibliographic entities and citations. This diversity, and the reuse of the same ontology terms with different nuances, generates inconsistencies in data. Adoption of a single data model would facilitate data integration tasks regardless of the data supplier or context application. In this paper we present the OpenCitations Data Model (OCDM), a generic data model for describing bibliographic entities and citations, developed using Semantic Web technologies. We also evaluate the effective reusability of OCDM according to ontology evaluation practices, mention existing users of OCDM, and discuss the use and impact of OCDM in the wider open science community.
    Type
    a