Search (137 results, page 6 of 7)

  • × theme_ss:"Wissensrepräsentation"
  1. Yu, L.-C.; Wu, C.-H.; Chang, R.-Y.; Liu, C.-H.; Hovy, E.H.: Annotation and verification of sense pools in OntoNotes (2010) 0.01 
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  2. Davies, J.; Weeks, R.: QuizRDF: search technology for the Semantic Web (2004) 0.01 
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  3. Endres-Niggemeyer, B.; Ziegert, C.: SummIt-BMT : (Summarize It in BMT) in Diagnose und Therapie, Abschlussbericht (2002) 0.01 
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  4. Green, R.; Panzer, M.: Relations in the notational hierarchy of the Dewey Decimal Classification (2011) 0.01 
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  5. Gnoli, C.; Pullman, T.; Cousson, P.; Merli, G.; Szostak, R.: Representing the structural elements of a freely faceted classification (2011) 0.01 
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  6. Manaf, N.A. Abdul; Bechhofer, S.; Stevens, R.: ¬The current state of SKOS vocabularies on the Web (2012) 0.01 
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  7. Aker, A.; Plaza, L.; Lloret, E.; Gaizauskas, R.: Do humans have conceptual models about geographic objects? : a user study (2013) 0.01 
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  8. Guns, R.: Tracing the origins of the semantic web (2013) 0.01 
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  9. Giri, K.; Gokhale, P.: Developing a banking service ontology using Protégé, an open source software (2015) 0.01 
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    Abstract
    Computers have transformed from single isolated devices to entry points into a worldwide network of information exchange. Consequently, support in the exchange of data, information, and knowledge is becoming the key issue in computer technology today. The increasing volume of data available on the Web makes information retrieval a tedious and difficult task. Researchers are now exploring the possibility of creating a semantic web, in which meaning is made explicit, allowing machines to process and integrate web resources intelligently. The vision of the semantic web introduces the next generation of the Web by establishing a layer of machine-understandable data. The success of the semantic web depends on the easy creation, integration and use of semantic data, which will depend on web ontology. The faceted approach towards analyzing and representing knowledge given by S R Ranganathan would be useful in this regard. Ontology development in different fields is one such area where this approach given by Ranganathan could be applied. This paper presents a case of developing ontology for the field of banking.
  10. Cao, N.; Sun, J.; Lin, Y.-R.; Gotz, D.; Liu, S.; Qu, H.: FacetAtlas : Multifaceted visualization for rich text corpora (2010) 0.01 
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  11. Mainzer, K.: ¬The emergence of self-conscious systems : from symbolic AI to embodied robotics (2014) 0.01 
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    Source
    Philosophy, computing and information science. Eds.: R. Hagengruber u. U.V. Riss
  12. Smith, B.: ¬The relevance of philosophical ontology to information and computer science (2014) 0.01 
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    Philosophy, computing and information science. Eds.: R. Hagengruber u. U.V. Riss
  13. Kohne, J.: Ontology, its origins and its meaning in information icience (2014) 0.01 
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    Philosophy, computing and information science. Eds.: R. Hagengruber u. U.V. Riss
  14. Andreas, H.: On frames and theory-elements of structuralism (2014) 0.01 
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    Philosophy, computing and information science. Eds.: R. Hagengruber u. U.V. Riss
  15. Saab, D.J.; Fonseca, F.: Ontological complexity and human culture (2014) 0.01 
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    Philosophy, computing and information science. Eds.: R. Hagengruber u. U.V. Riss
  16. Riss, U.V.: Knowledge and action between abstraction and concretion (2014) 0.01 
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    Philosophy, computing and information science. Eds.: R. Hagengruber u. U.V. Riss
  17. Jansen, L.: Four rules for classifying social entities (2014) 0.01 
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    Philosophy, computing and information science. Eds.: R. Hagengruber u. U.V. Riss
  18. Branch, F.; Arias, T.; Kennah, J.; Phillips, R.; Windleharth, T.; Lee, J.H.: Representing transmedia fictional worlds through ontology (2017) 0.01 
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  19. Almeida, M.B.; Felipe, E.R.; Barcelos, R.: Toward a document-centered ontological theory for information architecture in corporations (2020) 0.01 
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  20. Knowledge graphs : new directions for knowledge representation on the Semantic Web (2019) 0.01 
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