Search (33 results, page 1 of 2)

  • × author_ss:"Mayr, P."
  1. 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) 0.04 
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    Date
    8. 7.2006 21:06:22
    Source
    BuB. 58(2006) H.7/8, S.558-561
    Type
    a
  2. Reichert, S.; Mayr, P.: Untersuchung von Relevanzeigenschaften in einem kontrollierten Eyetracking-Experiment (2012) 0.03 
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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
  3. Mayr, P.; Petras, V.: Building a Terminology Network for Search : the KoMoHe project (2008) 0.02 
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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).
    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
  4. 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) 0.01 
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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.
    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
  5. Mayr, P.: DigiLink - Die dritte Generation der Linklisten (2005) 0.01 
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    Source
    B.I.T.online. 8(2005) H.2, S.139-142
    Type
    a
  6. Mayr, P.: ¬Die virtuelle Steinsuppe : kooperatives Verwalten von elektronischen Ressourcen mit Digilink (2007) 0.01 
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    Source
    Wa(h)re Information: 29. Österreichischer Bibliothekartag Bregenz, 19.-23.9.2006. Hrsg.: Harald Weigel
    Type
    a
  7. Mayr, P.; Tosques, F.: Webometrische Analysen mit Hilfe der Google Web APIs (2005) 0.01 
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    Source
    Information - Wissenschaft und Praxis. 56(2005) H.1, S.41-48
    Type
    a
  8. Mayr, P.; Walter, A.-K.: Zum Stand der Heterogenitätsbehandlung in vascoda : Bestandsaufnahme und Ausblick (2007) 0.01 
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    Content
    Vortrag anlässlich des 96. Deutscher Bibliothekartag, Leipzig, 2007. - Vgl. auch den Bericht: Fiala, S.: Deutscher Bibliothekartag Leipzig 2007: Sacherschließung - Informationsdienstleistung. In: Mitt. VOEB 60(2007) H.2, S.44-48.
  9. Mayr, P.; Umstätter, W.: ¬Eine bibliometrische Zeitschriftenanalyse mit Jol Scientrometrics und NfD bzw. IWP (2008) 0.01 
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    Source
    Information - Wissenschaft und Praxis. 59(2008) H.6/7, S.353-360
    Type
    a
  10. Mayr, P.; Walter, A.-K.: Abdeckung und Aktualität des Suchdienstes Google Scholar (2006) 0.01 
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    Information - Wissenschaft und Praxis. 57(2006) H.3, S.133-140
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  11. Mayr, P.: Bradfordizing als Re-Ranking-Ansatz in Literaturinformationssystemen (2011) 0.01 
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    Information - Wissenschaft und Praxis. 62(2011) H.1, S.3-10
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  12. Mayr, P.: Bradfordizing mit Katalogdaten : Alternative Sicht auf Suchergebnisse und Publikationsquellen durch Re-Ranking (2010) 0.01 
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    Source
    BuB. 62(2010) H.1, S.61-63
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  13. Mayr, P.: Google Scholar als akademische Suchmaschine (2009) 0.01 
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    Source
    Mitteilungen der Vereinigung Österreichischer Bibliothekarinnen und Bibliothekare. 62(2009) H.2, S.19-28
    Type
    a
  14. Mayr, P.: Information Retrieval-Mehrwertdienste für Digitale Bibliotheken: : Crosskonkordanzen und Bradfordizing (2010) 0.00 
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    Footnote
    Rez. in: iwp 62(2011) H.6/7, S. 323-324 (D. Lewandowski)
  15. Mayr, P.; Scharnhorst, A.: Scientometrics and information retrieval - weak-links revitalized (2015) 0.00 
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  16. Mayr, P.; Petras, V.; Walter, A.-K.: Results from a German terminology mapping effort : intra- and interdisciplinary cross-concordances between controlled vocabularies (2007) 0.00 
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    Abstract
    In 2004, the German Federal Ministry for Education and Research funded a major terminology mapping initiative at the GESIS Social Science Information Centre in Bonn (GESIS-IZ), which will find its conclusion this year. The task of this terminology mapping initiative was to organize, create and manage 'crossconcordances' between major controlled vocabularies (thesauri, classification systems, subject heading lists) centred around the social sciences but quickly extending to other subject areas. Cross-concordances are intellectually (manually) created crosswalks that determine equivalence, hierarchy, and association relations between terms from two controlled vocabularies. Most vocabularies have been related bilaterally, that is, there is a cross-concordance relating terms from vocabulary A to vocabulary B as well as a cross-concordance relating terms from vocabulary B to vocabulary A (bilateral relations are not necessarily symmetrical). Till August 2007, 24 controlled vocabularies from 11 disciplines will be connected with vocabulary sizes ranging from 2,000 - 17,000 terms per vocabulary. To date more than 260,000 relations are generated. A database including all vocabularies and cross-concordances was built and a 'heterogeneity service' developed, a web service, which makes the cross-concordances available for other applications. Many cross-concordances are already implemented and utilized for the German Social Science Information Portal Sowiport (www.sowiport.de), which searches bibliographical and other information resources (incl. 13 databases with 10 different vocabularies and ca. 2.5 million references).
    In the final phase of the project, a major evaluation effort is under way to test and measure the effectiveness of the vocabulary mappings in an information system environment. Actual user queries are tested in a distributed search environment, where several bibliographic databases with different controlled vocabularies are searched at the same time. Three query variations are compared to each other: a free-text search without focusing on using the controlled vocabulary or terminology mapping; a controlled vocabulary search, where terms from one vocabulary (a 'home' vocabulary thought to be familiar to the user of a particular database) are used to search all databases; and finally, a search, where controlled vocabulary terms are translated into the terms of the respective controlled vocabulary of the database. For evaluation purposes, types of cross-concordances are distinguished between intradisciplinary vocabularies (vocabularies within the social sciences) and interdisciplinary vocabularies (social sciences to other disciplines as well as other combinations). Simultaneously, an extensive quantitative analysis is conducted aimed at finding patterns in terminology mappings that can explain trends in the effectiveness of terminology mappings, particularly looking at overlapping terms, types of determined relations (equivalence, hierarchy etc.), size of participating vocabularies, etc. This project is the largest terminology mapping effort in Germany. The number and variety of controlled vocabularies targeted provide an optimal basis for insights and further research opportunities. To our knowledge, terminology mapping efforts have rarely been evaluated with stringent qualitative and quantitative measures. This research should contribute in this area. For the NKOS workshop, we plan to present an overview of the project and participating vocabularies, an introduction to the heterogeneity service and its application as well as some of the results and findings of the evaluation, which will be concluded in August.
  17. Mutschke, P.; Mayr, P.: Science models for search : a study on combining scholarly information retrieval and scientometrics (2015) 0.00 
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  18. Carevic, Z.; Krichel, T.; Mayr, P.: Assessing a human mediated current awareness service (2015) 0.00 
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  19. Mayr, P.; Mutschke, P.; Petras, V.; Schaer, P.; Sure, Y.: Applying science models for search (2010) 0.00 
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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.
    Type
    a
  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

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