Search (24 results, page 1 of 2)

  • × year_i:[2000 TO 2010}
  • × type_ss:"r"
  1. Hellweg, H.; Krause, J.; Mandl, T.; Marx, J.; Müller, M.N.O.; Mutschke, P.; Strötgen, R.: Treatment of semantic heterogeneity in information retrieval (2001) 0.03
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  2. Stein, R.; Gottschewski, J.; Heuchert, R.; Ermert, A.; Hagedorn-Saupe, M.; Hansen, H.-J.; Saro, C.; Scheffel, R.; Schulte-Dornberg, G.: ¬Das CIDOC Conceptual Reference Model : Eine Hilfe für den Datenaustausch? (2005) 0.02
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  3. Euzenat, J.; Bach, T.Le; Barrasa, J.; Bouquet, P.; Bo, J.De; Dieng, R.; Ehrig, M.; Hauswirth, M.; Jarrar, M.; Lara, R.; Maynard, D.; Napoli, A.; Stamou, G.; Stuckenschmidt, H.; Shvaiko, P.; Tessaris, S.; Acker, S. Van; Zaihrayeu, I.: State of the art on ontology alignment (2004) 0.01
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  4. Carey, K.; Stringer, R.: ¬The power of nine : a preliminary investigation into navigation strategies for the new library with special reference to disabled people (2000) 0.01
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    Pages
    22 S
  5. Adler, R.; Ewing, J.; Taylor, P.: Citation statistics : A report from the International Mathematical Union (IMU) in cooperation with the International Council of Industrial and Applied Mathematics (ICIAM) and the Institute of Mathematical Statistics (IMS) (2008) 0.01
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    Abstract
    Using citation data to assess research ultimately means using citation-based statistics to rank things.journals, papers, people, programs, and disciplines. The statistical tools used to rank these things are often misunderstood and misused. - For journals, the impact factor is most often used for ranking. This is a simple average derived from the distribution of citations for a collection of articles in the journal. The average captures only a small amount of information about that distribution, and it is a rather crude statistic. In addition, there are many confounding factors when judging journals by citations, and any comparison of journals requires caution when using impact factors. Using the impact factor alone to judge a journal is like using weight alone to judge a person's health. - For papers, instead of relying on the actual count of citations to compare individual papers, people frequently substitute the impact factor of the journals in which the papers appear. They believe that higher impact factors must mean higher citation counts. But this is often not the case! This is a pervasive misuse of statistics that needs to be challenged whenever and wherever it occurs. -For individual scientists, complete citation records can be difficult to compare. As a consequence, there have been attempts to find simple statistics that capture the full complexity of a scientist's citation record with a single number. The most notable of these is the h-index, which seems to be gaining in popularity. But even a casual inspection of the h-index and its variants shows that these are naive attempts to understand complicated citation records. While they capture a small amount of information about the distribution of a scientist's citations, they lose crucial information that is essential for the assessment of research.
    The validity of statistics such as the impact factor and h-index is neither well understood nor well studied. The connection of these statistics with research quality is sometimes established on the basis of "experience." The justification for relying on them is that they are "readily available." The few studies of these statistics that were done focused narrowly on showing a correlation with some other measure of quality rather than on determining how one can best derive useful information from citation data. We do not dismiss citation statistics as a tool for assessing the quality of research.citation data and statistics can provide some valuable information. We recognize that assessment must be practical, and for this reason easily-derived citation statistics almost surely will be part of the process. But citation data provide only a limited and incomplete view of research quality, and the statistics derived from citation data are sometimes poorly understood and misused. Research is too important to measure its value with only a single coarse tool. We hope those involved in assessment will read both the commentary and the details of this report in order to understand not only the limitations of citation statistics but also how better to use them. If we set high standards for the conduct of science, surely we should set equally high standards for assessing its quality.
    Content
    Der vollständige Bericht ist im Internet unter der folgenden Adresse zugänglich: http://www.mathunion.org/fileadmin/IMU/Report/CitationStatistics.pdf. - Vgl. auch den Beitrag: Zitaten-Statistiken. In: Mitteilungen der Deutschen Mathematiker-Vereinigung. 2008, H.3, S.198-203.
    Object
    h-index
  6. Kluck, M.; Krause, J.; Müller, M.N.O.; AG Elfikom TU Darmstadt: Virtuelle Fachbibliothek Sozialwissenschaften : Projektskizze (2000) 0.01
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  7. Huemer, H.: Semantische Technologien : Analyse zum Status quo, Potentiale und Ziele im Bibliotheks-, Informations- und Dokumentationswesen (2006) 0.01
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    Footnote
    Rez. in: Mitt VÖB 60(2007)H.3, S.80-81 (J. Bertram): "Wie aus dem Titel der Publikation hervorgeht, will der Autor eine Bestandsaufnahme zum Einsatz semantischer Technologien im BID-Bereich (Bibliothek - Information - Dokumentation) bzw. BAM-Bereich (Bibliothek - Archiv - Museum) vornehmen. einigem Befremden, dass eines von insgesamt drei Vorwörtern für ein einschlägiges Softwareprodukt wirbt und von einer Firmenmitarbeiterin verfasst worden ist. Nach einer Skizze des gegenwärtigen Standes nationaler und europäischer Bibliothekspolitik folgen kurze Definitionen zu den beteiligten Branchen, zu semantischen Technologien und zu Precision und Recall. Die Ausführungen zu semantischen Technologien hätten durchaus gleich an den Anfang gestellt werden können, schließlich sollen sie ja das Hauptthema der vorliegenden Publikation abgeben. Zudem hätten sie konkreter, trennschärfer und ausführlicher ausfallen können. Der Autor moniert zu Recht das Fehlen einer einheitlichen Auffassung, was unter semantischen Technologien denn nun genau zu verstehen sei. Seine Definition lässt allerdings Fragen offen. So wird z.B. nicht geklärt, was besagte Technologien von den hier auch immer wieder erwähnten semantischen Tools unterscheidet. Das nachfolgende Kapitel über bibliographische Tools vereint eine Aufzählung konkreter Beispiele für Austauschformate, Dokumentationssysteme, Suchmaschinen, Informationsportale und OPACs. Im Anschluss daran stellt der Autor Methoden semantischer Anreicherung (bibliographischer) Daten vor und präsentiert Projekte im Bibliotheksbereich. Der aufzählende Charakter dieses und des vorangestellten Kapitels mag einem schnellen Überblick über die fraglichen Gegenstände dienlich sein, für eine systematische Lektüre eignen sich diese Passagen weniger. Auch wird der Bezug zu semantischen Technologien nicht durchgängig hergestellt.
  8. De Rosa, C.; Cantrell, J.; Cellentani, D.; Hawk, J.; Jenkins, L.; Wilson, A.: Perceptions of libraries and information resources : A Report to the OCLC Membership (2005) 0.01
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  9. Krause, J.: Integration von Ansätzen neuronaler Netzwerke in die Systemarchitektur von ViBSoz und CARMEN (2001) 0.01
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  10. Krause, J.; Mayr, P.: Allgemeiner Bibliothekszugang und Varianten der Suchtypologie : Konsequenzen für die Modellbildung in vascoda (2007) 0.01
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  11. Hildebrand, M.; Ossenbruggen, J. van; Hardman, L.: ¬An analysis of search-based user interaction on the Semantic Web (2007) 0.01
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  12. Gödert, W.; Oßwald, A.; Rösch, H.; Sleegers, P.: Evit@: Evaluation elektronischer Informationsmittel (2000) 0.01
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  13. Krause, J.: Standardisierung von der Heterogenität her denken : zum Entwicklungsstand bilateraler Transferkomponenten für digitale Fachbibliotheken (2003) 0.01
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  14. Puzicha, J.: Informationen finden! : Intelligente Suchmaschinentechnologie & automatische Kategorisierung (2007) 0.01
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  15. Horridge, M.; Knublauch, H.; Rector, A.; Stevens, R.; Wroe, C.: ¬A practical guide to building OWL ontologies using the Protégé-OWL plugin and CO-ODE Tools (2004) 0.00
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  16. Sykes, J.: ¬The value of indexing : a white paper prepared for Factiva, Factiva, a Dow Jones and Reuters Company (2001) 0.00
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  17. Sykes, J.: Making solid business decisions through intelligent indexing taxonomies : a white paper prepared for Factiva, Factiva, a Dow Jones and Reuters Company (2003) 0.00
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  18. Gödert, W.; Hartmann, S.; Hubrich, J.; Lepsky, K.; Schulenborg, K.; Trunk, D.: Semantische Anreicherung der Schlagwortnormdatei : Ergebnisbericht (2004) 0.00
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  19. Studer, R.; Studer, H.-P.; Studer, A.: Semantisches Knowledge Retrieval (2001) 0.00
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  20. Bredemeier, W.; Stock, M.; Stock, W.G.: ¬Die Branche elektronischer Geschäftsinformationen in Deutschland 2000/2001 (2001) 0.00
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    Footnote
    Rez. in: nfd 53(2002) H.4, S.250-251 (C. Schlögl)

Languages

  • d 15
  • e 9

Types