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  1. Leuenberger, M.; Stettler, N.; Grossmann, S.; Herget, J.: Combining different access options for image databases (2006) 0.05 
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    Abstract
    Living Memory is an interdisciplinary project running for two years, which is realised in cooperation of several institutions. It aims at developing an information system for a digital collection of different types of visual resources and will combine classical methods of image indexing and retrieval with innovative approaches like content-based image retrieval and the use of topic maps for semantic searching and browsing. This work-in-progress-report outlines the aims of the project and present first results after the period of fifteen months.
    Content
    Vortrag anlässlich der 72ND IFLA General Conference and Council, 20-24 August 2006, Seoul, Korea
  2. McCallum, S.H.: ¬A look at new information retrieval protocols : SRU, OpenSearch/A9, CQL, and XQuery (2006) 0.04 
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    Content
    Vortrag anlässlich der 72ND IFLA General Conference and Council, 20-24 August 2006, Seoul, Korea
  3. Patton, G.: What's new with FRAR (Functional Requirements for Authority Records)? (2006) 0.01 
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    Abstract
    A draft of Functional Requirements for Authority Records (FRAR) was made available for worldwide review on IFLANET from July through October 2005. The FRANAR Working Group received comments from 12 individuals and 13 institutions (including 6 national libraries and 3 national-level cataloguing committees). The working group expresses its appreciation to all who took the time to prepare comments. The comments received were compiled into a comments log which totaled 145 pages. Seven members of the Working Group met at the Koninklijke Bibliothek, The Hague, Netherlands, on December 9, 2005, to consider these comments and to start revising the draft to reflect decisions made in response to the comments. The group was able to deal with about two-thirds of the comments during the meeting and, since the December meeting has had a series of four conference calls to complete discussions of the remaining comments, with additional calls anticipated before the Seoul meetings.
    Content
    Vortrag anlässlich der 72ND IFLA General Conference and Council, 20-24 August 2006, Seoul, Korea
  4. Yi, K.: Challenges in automated classification using library classification schemes (2006) 0.01 
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    Content
    Vortrag anlässlich der 72ND IFLA General Conference and Council, 20-24 August 2006, Seoul, Korea
  5. ElSahn, M.: Multilingual access to moving image collections (2006) 0.01 
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    Content
    Vortrag anlässlich der 72ND IFLA General Conference and Council, 20-24 August 2006, Seoul, Korea
  6. Koh, G.S.L.: Transferring intended messages of subject headings exemplified in the list of Korean subject headings (2006) 0.01 
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    Content
    Vortrag anlässlich der 72ND IFLA General Conference and Council, 20-24 August 2006, Seoul, Korea
  7. Shah, L.; Kumar, S.: Uniform form divisions (common isolates) for digital environment : a proposal (2006) 0.01 
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    Content
    Vortrag anlässlich der 72ND IFLA General Conference and Council, 20-24 August 2006, Seoul, Korea
  8. Kim, K.-S.; Kim, S.-C.J.; Park, S.-J.; Zhu, X.; Polparsi, J.: Facet analyses of categories used in Web directories : a comparative study (2006) 0.01 
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    Content
    Vortrag anlässlich der 72ND IFLA General Conference and Council, 20-24 August 2006, Seoul, Korea
  9. Bredack, J.: Terminologieextraktion von Mehrwortgruppen in kunsthistorischen Fachtexten (2013) 0.01 
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    Abstract
    Mit Hilfe eines algorithmisch arbeitenden Verfahrens können Mehrwortgruppen aus elektronisch vorliegenden Texten identifiziert und extrahiert werden. Als Datengrundlage für diese Arbeit dienen kunsthistorische Lexikonartikel des Reallexikons zur Deutschen Kunstgeschichte. Die linguistisch, wörterbuchbasierte Open-Source-Software Lingo wurde in dieser Studie genutzt. Mit Lingo ist es möglich, auf Basis erstellter Wortmuster, bestimmte Wortfolgen aus elektronisch vorliegenden Daten algorithmisch zu identifizieren und zu extrahieren. Die erstellten Wortmuster basieren auf Wortklassen, mit denen die lexikalisierten Einträge in den Wörterbüchern getaggt sind und dadurch näher definiert werden. So wurden individuelle Wortklassen für Fachterminologie, Eigennamen, oder Adjektive vergeben. In der vorliegenden Arbeit werden zusätzlich Funktionswörter in die Musterbildung mit einbezogen. Dafür wurden neue Wortklassen definiert. Funktionswörter bestimmen Artikel, Konjunktionen und Präpositionen. Ziel war es fachterminologische Mehrwortgruppen mit kunsthistorischen Inhalten zu extrahieren unter der gezielten Einbindung von Funktionswörtern. Anhand selbst gebildeter Kriterien, wurden die extrahierten Mehrwortgruppen qualitativ analysiert. Es konnte festgestellt werden, dass die Verwendung von Funktionswörtern fachterminologische Mehrwortgruppen erzeugt, die als potentielle Indexterme weitere Verwendung im Information Retrieval finden können.
    Mehrwortgruppen sind als lexikalische Einheit zu betrachten und bestehen aus mindestens zwei miteinander in Verbindung stehenden Begriffen. Durch die Ver-bindung mehrerer Fachwörter transportieren sie in Fachtexten aussagekräftige Informationen. Sie vermitteln eindeutige Informationen, da aus den resultierenden Beziehungen zwischen den in Verbindung stehenden Fachbegriffen die inhaltliche Bedeutung eines Fachtextes ersichtlich wird. Demzufolge ist es sinnvoll, Mehrwort-gruppen aus Fachtexten zu extrahieren, da diese die Inhalte eindeutig repräsentieren. So können Mehrwortgruppen für eine inhaltliche Erschließung genutzt und beispiels-weise als Indexterme im Information Retrieval bereitgestellt werden. Mehrwortgruppen enthalten Informationen eines Textes, die in natürlicher Sprache vorliegen. Zur Extraktion von Informationen eines elektronisch vorliegenden Textes kommen maschinelle Verfahren zum Einsatz, da Sprache Strukturen aufweist, die maschinell verarbeitet werden können. Eine mögliche Methode Mehrwortgruppen innerhalb von elektronisch vorliegenden Fachtexten zu identifizieren und extrahieren ist ein algorithmisches Verfahren. Diese Methode erkennt Wortfolgen durch das Bilden von Wortmustern, aus denen sich eine Mehrwortgruppe in einem Text zusammensetzt. Die Wortmuster repräsentieren somit die einzelnen Bestandteile einer Mehrwortgruppe. Bereits an mathematischen Fachtexten wurde dieses Verfahren untersucht und analysiert. Relevante Mehrwortgruppen, die ein mathematisches Konzept oder mathe-matischen Inhalt repräsentierten, konnten erfolgreich extrahiert werden. Zum Einsatz kam das Indexierungssystem Lingo, mit dessen Programmodul sequencer eine algorithmische Identifizierung und Extraktion von Mehrwortgruppen möglich ist. In der vorliegenden Arbeit wird dieses algorithmische Verfahren unter Einsatz der Software Lingo genutzt, um Mehrwortgruppen aus kunsthistorischen Fachtexten zu extrahieren. Als Datenquelle dienen kunsthistorische Lexikonartikel aus dem Reallexikon zur Deutschen Kunstgeschichte, welches in deutscher Sprache vorliegt. Es wird untersucht, ob positive Ergebnisse im Sinne von fachterminologischen Mehrwort-gruppen mit kunsthistorischen Inhalten erzeugt werden können. Dabei soll zusätzlich die Einbindung von Funktionswörtern innerhalb einer Mehrwortgruppe erfolgen. Funktionswörter definieren Artikel, Konjunktionen und Präpositionen, die für sich alleinstehend keine inhaltstragende Bedeutung besitzen, allerdings innerhalb einer Mehrwortgruppe syntaktische Funktionen erfüllen. Anhand der daraus resultierenden Ergebnisse wird analysiert, ob das Hinzufügen von Funktionswörtern innerhalb einer Mehrwortgruppe zu positiven Ergebnissen führt. Ziel soll es demnach sein, fach-terminologische Mehrwortgruppen mit kunsthistorischen Inhalten zu erzeugen, unter Einbindung von Funktionswörtern. Bei der Extraktion fachterminologischer Mehrwortgruppen wird im Folgenden insbesondere auf die Erstellung von Wortmustern eingegangen, da diese die Basis liefern, mit welchen das Programmmodul sequencer Wortfolgen innerhalb der kunst-historischen Lexikonartikel identifiziert. Eine Einordung der Indexierungsergebnisse erfolgt anhand selbst gebildeter Kriterien, die definieren, was unter einer fach-terminologischen Mehrwortgruppe zu verstehen ist.
  10. Patton, G.; Hengel-Dittrich, C.; O'Neill, E.T.; Tillett, B.B.: VIAF (Virtual International Authority File) : Linking Die Deutsche Bibliothek and Library of Congress Name Authority Files (2006) 0.01 
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    Content
    Vortrag anlässlich der 72ND IFLA General Conference and Council, 20-24 August 2006, Seoul, Korea
  11. Cathro, W.: New frameworks for resource discovery and delivery : the changing role of the catalogue (2006) 0.01 
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    Content
    Vortrag anlässlich der 72ND IFLA General Conference and Council, 20-24 August 2006, Seoul, Korea
  12. Danskin, A.: "Tomorrow never knows" : the end of cataloguing? (2006) 0.01 
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    Content
    Vortrag anlässlich der 72ND IFLA General Conference and Council, 20-24 August 2006, Seoul, Korea
  13. Graphic details : a scientific study of the importance of diagrams to science (2016) 0.00 
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    Content
    As the team describe in a paper posted (http://arxiv.org/abs/1605.04951) on arXiv, they found that figures did indeed matter-but not all in the same way. An average paper in PubMed Central has about one diagram for every three pages and gets 1.67 citations. Papers with more diagrams per page and, to a lesser extent, plots per page tended to be more influential (on average, a paper accrued two more citations for every extra diagram per page, and one more for every extra plot per page). By contrast, including photographs and equations seemed to decrease the chances of a paper being cited by others. That agrees with a study from 2012, whose authors counted (by hand) the number of mathematical expressions in over 600 biology papers and found that each additional equation per page reduced the number of citations a paper received by 22%. This does not mean that researchers should rush to include more diagrams in their next paper. Dr Howe has not shown what is behind the effect, which may merely be one of correlation, rather than causation. It could, for example, be that papers with lots of diagrams tend to be those that illustrate new concepts, and thus start a whole new field of inquiry. Such papers will certainly be cited a lot. On the other hand, the presence of equations really might reduce citations. Biologists (as are most of those who write and read the papers in PubMed Central) are notoriously mathsaverse. If that is the case, looking in a physics archive would probably produce a different result.

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