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  1. Mas, S.; Marleau, Y.: Proposition of a faceted classification model to support corporate information organization and digital records management (2009) 0.26
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    Abstract
    The employees of an organization often use a personal hierarchical classification scheme to organize digital documents that are stored on their own workstations. As this may make it hard for other employees to retrieve these documents, there is a risk that the organization will lose track of needed documentation. Furthermore, the inherent boundaries of such a hierarchical structure require making arbitrary decisions about which specific criteria the classification will b.e based on (for instance, the administrative activity or the document type, although a document can have several attributes and require classification in several classes).A faceted classification model to support corporate information organization is proposed. Partially based on Ranganathan's facets theory, this model aims not only to standardize the organization of digital documents, but also to simplify the management of a document throughout its life cycle for both individuals and organizations, while ensuring compliance to regulatory and policy requirements.
    Date
    29. 8.2009 21:15:48
    Footnote
    Vgl.: http://ieeexplore.ieee.org/Xplore/login.jsp?reload=true&url=http%3A%2F%2Fieeexplore.ieee.org%2Fiel5%2F4755313%2F4755314%2F04755480.pdf%3Farnumber%3D4755480&authDecision=-203.
  2. Hotho, A.; Bloehdorn, S.: Data Mining 2004 : Text classification by boosting weak learners based on terms and concepts (2004) 0.21
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    Content
    Vgl.: http://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&ved=0CEAQFjAA&url=http%3A%2F%2Fciteseerx.ist.psu.edu%2Fviewdoc%2Fdownload%3Fdoi%3D10.1.1.91.4940%26rep%3Drep1%26type%3Dpdf&ei=dOXrUMeIDYHDtQahsIGACg&usg=AFQjCNHFWVh6gNPvnOrOS9R3rkrXCNVD-A&sig2=5I2F5evRfMnsttSgFF9g7Q&bvm=bv.1357316858,d.Yms.
    Date
    8. 1.2013 10:22:32
  3. Zeng, Q.; Yu, M.; Yu, W.; Xiong, J.; Shi, Y.; Jiang, M.: Faceted hierarchy : a new graph type to organize scientific concepts and a construction method (2019) 0.20
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    Abstract
    On a scientific concept hierarchy, a parent concept may have a few attributes, each of which has multiple values being a group of child concepts. We call these attributes facets: classification has a few facets such as application (e.g., face recognition), model (e.g., svm, knn), and metric (e.g., precision). In this work, we aim at building faceted concept hierarchies from scientific literature. Hierarchy construction methods heavily rely on hypernym detection, however, the faceted relations are parent-to-child links but the hypernym relation is a multi-hop, i.e., ancestor-to-descendent link with a specific facet "type-of". We use information extraction techniques to find synonyms, sibling concepts, and ancestor-descendent relations from a data science corpus. And we propose a hierarchy growth algorithm to infer the parent-child links from the three types of relationships. It resolves conflicts by maintaining the acyclic structure of a hierarchy.
    Content
    Vgl.: https%3A%2F%2Faclanthology.org%2FD19-5317.pdf&usg=AOvVaw0ZZFyq5wWTtNTvNkrvjlGA.
  4. Li, L.; Shang, Y.; Zhang, W.: Improvement of HITS-based algorithms on Web documents 0.20
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    Content
    Vgl.: http%3A%2F%2Fdelab.csd.auth.gr%2F~dimitris%2Fcourses%2Fir_spring06%2Fpage_rank_computing%2Fp527-li.pdf. Vgl. auch: http://www2002.org/CDROM/refereed/643/.
  5. Suchenwirth, L.: Sacherschliessung in Zeiten von Corona : neue Herausforderungen und Chancen (2019) 0.20
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    Footnote
    https%3A%2F%2Fjournals.univie.ac.at%2Findex.php%2Fvoebm%2Farticle%2Fdownload%2F5332%2F5271%2F&usg=AOvVaw2yQdFGHlmOwVls7ANCpTii.
  6. Schrodt, R.: Tiefen und Untiefen im wissenschaftlichen Sprachgebrauch (2008) 0.20
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    Content
    Vgl. auch: https://studylibde.com/doc/13053640/richard-schrodt. Vgl. auch: http%3A%2F%2Fwww.univie.ac.at%2FGermanistik%2Fschrodt%2Fvorlesung%2Fwissenschaftssprache.doc&usg=AOvVaw1lDLDR6NFf1W0-oC9mEUJf.
  7. Popper, K.R.: Three worlds : the Tanner lecture on human values. Deliverd at the University of Michigan, April 7, 1978 (1978) 0.20
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    Source
    https%3A%2F%2Ftannerlectures.utah.edu%2F_documents%2Fa-to-z%2Fp%2Fpopper80.pdf&usg=AOvVaw3f4QRTEH-OEBmoYr2J_c7H
  8. Vetere, G.; Lenzerini, M.: Models for semantic interoperability in service-oriented architectures (2005) 0.18
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    Content
    Vgl.: http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=5386707&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D5386707.
  9. Schüler, W.; Preisler, W.: ¬Ein formales mathematisches Modell des Indexierens (1977) 0.17
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  10. Donsbach, W.: Wahrheit in den Medien : über den Sinn eines methodischen Objektivitätsbegriffes (2001) 0.17
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    Source
    Politische Meinung. 381(2001) Nr.1, S.65-74 [https%3A%2F%2Fwww.dgfe.de%2Ffileadmin%2FOrdnerRedakteure%2FSektionen%2FSek02_AEW%2FKWF%2FPublikationen_Reihe_1989-2003%2FBand_17%2FBd_17_1994_355-406_A.pdf&usg=AOvVaw2KcbRsHy5UQ9QRIUyuOLNi]
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    Information
  11. Malsburg, C. von der: ¬The correlation theory of brain function (1981) 0.17
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    Source
    http%3A%2F%2Fcogprints.org%2F1380%2F1%2FvdM_correlation.pdf&usg=AOvVaw0g7DvZbQPb2U7dYb49b9v_
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  12. Noever, D.; Ciolino, M.: ¬The Turing deception (2022) 0.15
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    Source
    https%3A%2F%2Farxiv.org%2Fabs%2F2212.06721&usg=AOvVaw3i_9pZm9y_dQWoHi6uv0EN
  13. Axelos, C.; Flasch, K.; Schepers, H.; Kuhlen, R.; Romberg, R.; Zimmermann, R.: Allgemeines/Besonderes (1971-2007) 0.14
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    Footnote
    DOI: 10.24894/HWPh.5033. Vgl. unter: https://www.schwabeonline.ch/schwabe-xaveropp/elibrary/start.xav#__elibrary__%2F%2F*%5B%40attr_id%3D%27verw.allgemeinesbesonderes%27%5D__1515856414979.
  14. Herb, U.; Beucke, D.: ¬Die Zukunft der Impact-Messung : Social Media, Nutzung und Zitate im World Wide Web (2013) 0.11
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    Content
    Vgl. unter: https://www.leibniz-science20.de%2Fforschung%2Fprojekte%2Faltmetrics-in-verschiedenen-wissenschaftsdisziplinen%2F&ei=2jTgVaaXGcK4Udj1qdgB&usg=AFQjCNFOPdONj4RKBDf9YDJOLuz3lkGYlg&sig2=5YI3KWIGxBmk5_kv0P_8iQ.
  15. Panyr, J.: Vektorraum-Modell und Clusteranalyse in Information-Retrieval-Systemen (1987) 0.11
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    Abstract
    Ausgehend von theoretischen Indexierungsansätzen wird das klassische Vektorraum-Modell für automatische Indexierung (mit dem Trennschärfen-Modell) erläutert. Das Clustering in Information-Retrieval-Systemem wird als eine natürliche logische Folge aus diesem Modell aufgefaßt und in allen seinen Ausprägungen (d.h. als Dokumenten-, Term- oder Dokumenten- und Termklassifikation) behandelt. Anschließend werden die Suchstrategien in vorklassifizierten Dokumentenbeständen (Clustersuche) detailliert beschrieben. Zum Schluß wird noch die sinnvolle Anwendung der Clusteranalyse in Information-Retrieval-Systemen kurz diskutiert
  16. Mandl, T.; Womser-Hacker, C.: ¬Ein adaptives Information-Retrieval-Modell für Digitale Bibliotheken (2000) 0.10
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    Abstract
    In diesem Beitrag wird ein adaptives Information-Retrieval-Modell im Kontext Digitaler Bibliotheken vorgestellt, das während des Informationsprozesses lernt, Beziehungen zwischen Repräsentationsformen und Informations-Objekten herzustellen. Die aus großen Evaluierungsstudien abgeleiteten Erkenntnisse, dass Relevance Feedback und Polyrepräsentation echte Mehrwerte darstellen und zu besserer Retrievalqualität führen, dienen dabei als Grundlage. Um eine stärkere Adaption zu leisten, wird das Modell um Strategien erweitert, die Benutzer-, Dokument- und Anfrageeigenschaften einbeziehen. Im Rahmen Digitaler Bibliotheken spielen insbesondere Transformationen unterschiedlich erschlossener Objekte eine wichtige Rolle zur Kompensation semantischer Heterogenität. Auch in diesem Rahmen kann das adaptive Information-Retrieval-Modell eingesetzt werden
  17. Scheufen, J.-H.: RECOIN: Modell offener Schnittstellen für Information-Retrieval-Systeme und -Komponenten (2006) 0.09
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    Abstract
    Erfahrungen im Cross Language Evaluation Forum (CLEF) und die Beschäftigung mit Fragestellungen zum MIMOR-Modell haben den Bedarf für ein Framework zur Integration heterogener Retrieval-Komponenten aufgezeigt, mit dein sich einzelne Schritte des Retrieval-Prozesses individuell konfigurieren, untersuchen und optimieren lassen. RECOIN stellt ein Meta-Framework zur Verfügung, das den Programmieraufwand für die Integration neuer oder bereits existierender Retrieval-Bausteine minimiert und außerdem die Steuerung und Protokollierung verwendeter Objekte, Methoden und Parameter des Retrieval-Prozesses ermöglicht.
    Object
    MIMOR-Modell
    Source
    Effektive Information Retrieval Verfahren in Theorie und Praxis: ausgewählte und erweiterte Beiträge des Vierten Hildesheimer Evaluierungs- und Retrievalworkshop (HIER 2005), Hildesheim, 20.7.2005. Hrsg.: T. Mandl u. C. Womser-Hacker
  18. Schumann, L.; Stock, W.G.: ¬Ein umfassendes ganzheitliches Modell für Evaluation und Akzeptanzanalysen von Informationsdiensten : Das Information Service Evaluation (ISE) Modell (2014) 0.09
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    Abstract
    Informationsdienste werden heutzutage von großen Teilen der Bevölkerung im Berufs- wie im Privatleben genutzt. Es ist ein wichtiges informationswissenschaftliches Thema, Informationsdienste adäquat zu beschreiben und ihre Qualität zu bewerten. Unser Information Service Evaluation (ISE) Modell führt unterschiedliche Traditionen der Evaluations- sowie der Technologieakzeptanzforschung zusammen und besteht aus fünf Dimensionen: Qualität des Informationsdienstes, Nutzer, Informationsakzeptanz, Informationsumfeld und Zeit. Der Überblicks­artikel erläutert diese Dimension und bietet einen Einblick in ein flexibel handhabbares und umfassendes holistisches Modell der Beschreibung und Bewertung von Informationsdiensten.
    Date
    22. 9.2014 18:56:46
    Source
    Information - Wissenschaft und Praxis. 65(2014) H.4/5, S.239-246
  19. Roth, G.; Dicke, U.; Wiggers, W.: Wie das Gehirn eine Fliege erkennt (1999) 0.08
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    Abstract
    Amphibien verarbeiten Sinneseindrücke weitgehend ähnlich wie Säugetiere - ein unerwarteter Befund. Salamander und Frösche stellen das einfachste Modell dafür dar, wie ein Wirbeltier 'sieht' und das Wahrgenommene für eine Verhaltensreaktion 'verrechnet'
    Date
    31.12.1996 19:29:41
    22. 7.2000 19:04:41
    Theme
    Information
  20. Gödert, W.: ¬Ein Ontologie basiertes Modell für Indexierung und Retrieval (2014) 0.08
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    Abstract
    In diesem Beitrag wird ausgehend von einem ungelösten Problem der Informationserschließung ein Modell vorgestellt, das die Methoden und Erfahrungen zur inhaltlichen Dokumenterschließung mittels kognitiv zu interpretierender Dokumentationssprachen mit den Möglichkeiten formaler Wissensrepräsentation verbindet. Die Kernkomponente des Modells besteht aus der Nutzung von Inferenzen entlang der Pfade typisierter Relationen zwischen den in Facetten geordneten Entitäten innerhalb einer Wissensrepräsentation zur Bestimmung von Treffermengen im Rahmen von Retrievalprozessen. Es werden die möglichen Konsequenzen für das Indexieren und Retrieval diskutiert.
    Source
    Information - Wissenschaft und Praxis. 65(2014) H.2, S.83-98

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