Search (62 results, page 1 of 4)

  • × theme_ss:"Wissensrepräsentation"
  1. 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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    Content
    Vgl.: https%3A%2F%2Faclanthology.org%2FD19-5317.pdf&usg=AOvVaw0ZZFyq5wWTtNTvNkrvjlGA.
  2. Xiong, C.: Knowledge based text representations for information retrieval (2016) 0.17
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    Content
    Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Language and Information Technologies. Vgl.: https%3A%2F%2Fwww.cs.cmu.edu%2F~cx%2Fpapers%2Fknowledge_based_text_representation.pdf&usg=AOvVaw0SaTSvhWLTh__Uz_HtOtl3.
  3. Stojanovic, N.: Ontology-based Information Retrieval : methods and tools for cooperative query answering (2005) 0.13
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    Content
    Vgl.: http%3A%2F%2Fdigbib.ubka.uni-karlsruhe.de%2Fvolltexte%2Fdocuments%2F1627&ei=tAtYUYrBNoHKtQb3l4GYBw&usg=AFQjCNHeaxKkKU3-u54LWxMNYGXaaDLCGw&sig2=8WykXWQoDKjDSdGtAakH2Q&bvm=bv.44442042,d.Yms.
  4. Börner, K.: Atlas of knowledge : anyone can map (2015) 0.10
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    Date
    22. 1.2017 16:54:03
    22. 1.2017 17:10:56
    RSWK
    Visualisierung / Wissen
    Wissen / Daten / Visualisierung / Gebrauchsgrafik / Informationsgrafik / Thematische Karte
    Subject
    Visualisierung / Wissen
    Wissen / Daten / Visualisierung / Gebrauchsgrafik / Informationsgrafik / Thematische Karte
    Theme
    Visualisierung
  5. Haller, S.H.M.: Mappingverfahren zur Wissensorganisation (2002) 0.08
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    Date
    30. 5.2010 16:22:35
    Theme
    Visualisierung
  6. Wachsmann, L.: Entwurf und Implementierung eines Modells zur Visualisierung von OWL-Properties als Protégé-PlugIn mit Layoutalgorithmen aus Graphviz (2008) 0.03
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    Theme
    Visualisierung
  7. Rahmstorf, G.: Strukturierung von inhaltlichen Daten : Topic Maps und Concepto (2004) 0.02
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    Abstract
    Topic Maps auf der einen Seite und das Programm Concepto auf der anderen Seite werden beschrieben. Mt Topic Maps können Wortnetze und einfache Satzstrukturen dargestellt werden. Concepto dient zur Erfassung, Bearbeitung und Visualisierung von Wortschatz und Strukturen. Es unterstützt ein Wortmodell, bei dem die verschiedenen Lesarten eines Wortes erfasst und einfachen, formalsprachlichen Begriffen zugewiesen werden können. Die Funktionen beider Systeme werden verglichen. Es wird dargestellt, was an Topic Maps und an Concepto ergänzt werden müsste, wenn beide Systeme einen kompatiblen, wechselseitigen Datenaustausch zulassen sollen. Diese Erweiterungen würden die Anwendbarkeit der Systeme noch interessanter machen.
  8. Kreissig, B.: ¬Der neue Brockhaus : Einsatz von Sprachtechnologie und Wissensnetz (2006) 0.02
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    Abstract
    Menschliches Wissen und menschliche Sprache sind aufeinander bezogen und voneinander abhängig. Dies gilt auch und gerade bei den Bemühungen, Sprache und Wissen computergestützt so zu verarbeiten, dass für Menschen nutzbare maschinelle Wissensverarbeitung stattfindet. Jenseits von eher akademischen "Laborversuchen" hat wissenschaftliche Forschungsarbeit auf diesem Gebiet die Verfügbarkeit umfangreicher, gepflegter und sauber codierter Wissensbasen sowohl der verwendeten Sprache als auch des abgebildeten Gegenstands zur Voraussetzung. In einem Forschungsprojekt der Firma Brockhaus Duden Neue Medien GmbH gemeinsam mit namhaften wissenschaftlichen Partnern, u.a. dem Fraunhofer-IPSI, dem IICM der TU Graz, dem IAI der Universität Saarbrücken und dem KNOW-Center, Graz, wurde diese Herausforderung erfolgreich angegangen. Für eine neue digitale Brockhaus-Auflage wurden Informationsrepräsentations- und Retrievaltechniken entwickelt, die nicht auf domänenspezifischen Beschränkungen beruhend den gesamten enzyklopädischen Wissenskreis abdecken. Die entwickelten Formalismen erwiesen sich nicht nur zur Abfrage des enzyklopädischen Wissens in natürlicher Sprache als geeignet, sondern konnten auch darauf basierend neuartige Formen der Visualisierung von Wissenszusammenhängen implementiert werden. Die Ergebnisse zeigen zum einen Möglichkeiten erfolgreichen semantischen Retrievals ohne extensiven Einsatzformaler Metacodierungen, zum anderen weisen sie den Weg und die nächsten Schritte bei der Entwicklung noch leistungsfähigerer Mensch-Maschine-Schnittstellen.
  9. Cao, N.; Sun, J.; Lin, Y.-R.; Gotz, D.; Liu, S.; Qu, H.: FacetAtlas : Multifaceted visualization for rich text corpora (2010) 0.02
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    Theme
    Visualisierung
  10. Wen, B.; Horlings, E.; Zouwen, M. van der; Besselaar, P. van den: Mapping science through bibliometric triangulation : an experimental approach applied to water research (2017) 0.02
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    Theme
    Visualisierung
  11. Dietiker, S.: Cognitive Map einer Bibliothek : eine Überprüfung der Methodentauglichkeit im Bereich Bibliothekswissenschaft - am Beispiel der Kantonsbibliothek Graubünden (2016) 0.02
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    Abstract
    Cognitive Maps sind mentale Karten, welche jeder Mensch besitzt. Es handelt sich dabei um eine Reflexion der jeweiligen Umwelt. Cognitive Mapping ist eine Methode, welche diese mentale Karte sichtbar macht. Aufgrund dieser Visualisierung können Erkenntnisse darüber gewonnen werden, was Menschen an einem Ort oder in einem Raum tun und wahrnehmen. Die Methode hat verschiede Anwendungstechniken, welche sich in sechs Kategorien teilen: Aufgabenlösung, Elemente orten, Sketch Map erstellen, Zonen und Gebiete einzeichnen, Weg- und Ortsbeschreibung sowie Kognitive Befragung. Anhand dieser lassen sich Untersuchungen beliebig kombinieren. Die Anwendung von Cognitive Mapping sowie eine einfache Befragung in der Kantonsbibliothek Graubünden hat ergeben, dass die Methode für Bibliotheken sinnvoll ist. Allerdings sollte bei zukünftigen Anwendungen die Punkte Gesamtaufwand, Untersuchungsaufbau, Teilnehmer-Zusammensetzung und Auswertungs-Aufwand angepasst werden.
  12. Pfeiffer, S.: Entwicklung einer Ontologie für die wissensbasierte Erschließung des ISDC-Repository und die Visualisierung kontextrelevanter semantischer Zusammenhänge (2010) 0.01
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  13. Schmitz-Esser, W.: Language of general communication and concept compatibility (1996) 0.01
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    Pages
    S.11-22
  14. Drewer, P.; Massion, F; Pulitano, D: Was haben Wissensmodellierung, Wissensstrukturierung, künstliche Intelligenz und Terminologie miteinander zu tun? (2017) 0.01
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    Date
    13.12.2017 14:17:22
  15. Tudhope, D.; Hodge, G.: Terminology registries (2007) 0.01
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    Date
    26.12.2011 13:22:07
  16. Nielsen, M.: Neuronale Netze : Alpha Go - Computer lernen Intuition (2018) 0.01
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    Source
    Spektrum der Wissenschaft. 2018, H.1, S.22-27
  17. Synak, M.; Dabrowski, M.; Kruk, S.R.: Semantic Web and ontologies (2009) 0.01
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    Date
    31. 7.2010 16:58:22
  18. OWL Web Ontology Language Test Cases (2004) 0.01
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  19. Giunchiglia, F.; Villafiorita, A.; Walsh, T.: Theories of abstraction (1997) 0.01
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    Date
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Authors

Years

Languages

  • e 45
  • d 17

Types

  • a 44
  • el 16
  • x 8
  • m 2
  • n 1
  • r 1
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