Search (18 results, page 1 of 1)

  • × author_ss:"Mayr, P."
  1. Mayr, P.; Walter, A.-K.: Abdeckung und Aktualität des Suchdienstes Google Scholar (2006) 0.02 
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    Abstract
    Der Beitrag widmet sich dem neuen Google-Suchdienst Google Scholar. Die Suchmaschine, die ausschließlich wissenschaftliche Dokumente durchsuchen soll, wird mit ihren wichtigsten Funktionen beschrieben und anschließend einem empirischen Test unterzogen. Die durchgeführte Studie basiert auf drei Zeitschriftenlisten: Zeitschriften von Thomson Scientific, Open AccessZeitschriften des Verzeichnisses DOAJ und in der Fachdatenbank SOLIS ausgewertete sozialwissenschaftliche Zeitschriften. Die Abdeckung dieser Zeitschriften durch Google Scholar wurde per Abfrage der Zeitschriftentitel überprüft. Die Studie zeigt Defizite in der Abdeckung und Aktualität des Google Scholarlndex. Weiterhin macht die Studie deutlich, wer die wichtigsten Datenlieferanten für den neuen Suchdienst sind und welche wissenschaftlichen Informationsquellen im Index repräsentiert sind. Die Pluspunkte von Google Scholar liegen in seiner Einfachheit, seiner Suchgeschwindigkeit und letztendlich seiner Kostenfreiheit. Die Recherche in Fachdatenbanken kann Google Scholar trotz sichtbarer Potenziale (z. B. Zitationsanalyse) aber heute aufgrund mangelnder fachlicher Abdeckung und Transparenz nicht ersetzen.
  2. Mayr, P.; Petras, V.: Cross-concordances : terminology mapping and its effectiveness for information retrieval (2008) 0.00 
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    Abstract
    The German Federal Ministry for Education and Research funded a major terminology mapping initiative, which found its conclusion in 2007. The task of this terminology mapping initiative was to organize, create and manage 'cross-concordances' between controlled vocabularies (thesauri, classification systems, subject heading lists) centred around the social sciences but quickly extending to other subject areas. 64 crosswalks with more than 500,000 relations were established. In the final phase of the project, a major evaluation effort to test and measure the effectiveness of the vocabulary mappings in an information system environment was conducted. The paper reports on the cross-concordance work and evaluation results.
  3. 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) 0.00 
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    Date
    8. 7.2006 21:06:22
  4. Mayr, P.; Petras, V.: Building a Terminology Network for Search : the KoMoHe project (2008) 0.00 
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    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
  5. Reichert, S.; Mayr, P.: Untersuchung von Relevanzeigenschaften in einem kontrollierten Eyetracking-Experiment (2012) 0.00 
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    Date
    22. 7.2012 19:25:54
  6. Mayr, P.; Scharnhorst, A.: Scientometrics and information retrieval - weak-links revitalized (2015) 0.00 
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    Footnote
    Editorial zu einem Special Issue "Combining bibliometrics and information retrieval"
  7. 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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    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
  8. Mayr, P.: Google Scholar als akademische Suchmaschine (2009) 0.00 
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    Abstract
    Die drei oben genannten Suchsysteme (Google, GS und WoS) unterscheiden sich in mehrerlei Hinsicht fundamental und eignen sich daher gut, um in die Grundthematik dieses Artikels einzuleiten. Die obigen Suchsysteme erschließen zunächst unterschiedliche Suchräume, und dies auf sehr spezifische Weise. Während Google frei zugängliche und über Hyperlink adressierbare Dokumente im Internet erfasst, gehen die beiden akademischen Suchsysteme deutlich selektiver bei der Inhaltserschließung vor. Google Scholar erfasst neben frei zugänglichen elektronischen Publikationstypen im Internet hauptsächlich wissenschaftliche Dokumente, die direkt von den akademischen Verlagen bezogen werden. Das WoS, das auf den unterschiedlichen bibliographischen Datenbanken und Zitationsindizes des ehemaligen "Institute for Scientific Information" (ISI) basiert, selektiert gegenüber den rein automatischen brute-force-Ansätzen der Internetsuchmaschine über einen qualitativen Ansatz. In den Datenbanken des WoS werden ausschließlich internationale Fachzeitschriften erfasst, die ein kontrolliertes Peer-Review durchlaufen. Insgesamt werden ca. 12.000 Zeitschriften ausgewertet und über die Datenbank verfügbar gemacht. Wie bereits erwähnt, spielt neben der Abgrenzung der Suchräume und Dokumenttypen die Zugänglichkeit und Relevanz der Dokumente eine entscheidende Bedeutung für den Benutzer. Die neueren technologischen Entwicklungen des Web Information Retrieval (IR), wie sie Google oder GS implementieren, werten insbesondere frei zugängliche Dokumente mit ihrer gesamten Text- und Linkinformation automatisch aus. Diese Verfahren sind vor allem deshalb erfolgreich, weil sie Ergebnislisten nach Relevanz gerankt darstellen, einfach und schnell zu recherchieren sind und direkt auf die Volltexte verweisen. Die qualitativen Verfahren der traditionellen Informationsanbieter (z. B. WoS) hingegen zeigen genau bei diesen Punkten (Ranking, Einfachheit und Volltextzugriff) Schwächen, überzeugen aber vor allem durch ihre Stringenz, in diesem Fall die selektive Aufnahme von qualitätsgeprüften Dokumenten in das System und die inhaltliche Erschließung der Dokumente (siehe dazu Mayr und Petras, 2008).
  9. Mayr, P.; Schaer, P.; Mutschke, P.: ¬A science model driven retrieval prototype (2011) 0.00 
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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
  10. Mutschke, P.; Mayr, P.: Science models for search : a study on combining scholarly information retrieval and scientometrics (2015) 0.00 
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    Footnote
    Beitrag in einem Special Issue "Combining bibliometrics and information retrieval"
  11. 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.
  12. Mayr, P.: Information Retrieval-Mehrwertdienste für Digitale Bibliotheken: : Crosskonkordanzen und Bradfordizing (2010) 0.00 
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    RSWK
    Dokumentationssprache / Heterogenität / Information Retrieval / Ranking / Evaluation
    Subject
    Dokumentationssprache / Heterogenität / Information Retrieval / Ranking / Evaluation
  13. Mayr, P.; Mutschke, P.; Schaer, P.; Sure, Y.: Mehrwertdienste für das Information Retrieval (2013) 0.00 
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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.
  14. Mayr, P.; Petras, V.: Crosskonkordanzen : Terminologie Mapping und deren Effektivität für das Information Retrieval 0.00 
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  15. 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).
  16. Mayr, P.: Thesauri, Klassifikationen & Co - die Renaissance der kontrollierten Vokabulare? (2006) 0.00 
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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.
  17. Mayr, P.; Mutschke, P.; Petras, V.: Reducing semantic complexity in distributed digital libraries : Treatment of term vagueness and document re-ranking (2008) 0.00 
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    Abstract
    Purpose - The general science portal "vascoda" merges structured, high-quality information collections from more than 40 providers on the basis of search engine technology (FAST) and a concept which treats semantic heterogeneity between different controlled vocabularies. First experiences with the portal show some weaknesses of this approach which come out in most metadata-driven Digital Libraries (DLs) or subject specific portals. The purpose of the paper is to propose models to reduce the semantic complexity in heterogeneous DLs. The aim is to introduce value-added services (treatment of term vagueness and document re-ranking) that gain a certain quality in DLs if they are combined with heterogeneity components established in the project "Competence Center Modeling and Treatment of Semantic Heterogeneity". Design/methodology/approach - Two methods, which are derived from scientometrics and network analysis, will be implemented with the objective to re-rank result sets by the following structural properties: the ranking of the results by core journals (so-called Bradfordizing) and ranking by centrality of authors in co-authorship networks. Findings - The methods, which will be implemented, focus on the query and on the result side of a search and are designed to positively influence each other. Conceptually, they will improve the search quality and guarantee that the most relevant documents in result sets will be ranked higher. Originality/value - The central impact of the paper focuses on the integration of three structural value-adding methods, which aim at reducing the semantic complexity represented in distributed DLs at several stages in the information retrieval process: query construction, search and ranking and re-ranking.
  18. 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 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.

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