Search (176 results, page 1 of 9)

  • × theme_ss:"Wissensrepräsentation"
  • × language_ss:"e"
  1. Balakrishnan, U,; Soergel, D.; Helfer, O.: Representing concepts through description logic expressions for knowledge organization system (KOS) mapping (2020) 0.07
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  2. Dobrev, P.; Kalaydjiev, O.; Angelova, G.: From conceptual structures to semantic interoperability of content (2007) 0.06
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    Source
    Conceptual structures: knowledge architectures for smart applications: 15th International Conference on Conceptual Structures, ICCS 2007, Sheffield, UK, July 22 - 27, 2007 ; proceedings. Eds.: U. Priss u.a
  3. Bringsjord, S.; Clark, M.; Taylor, J.: Sophisticated knowledge representation and reasoning requires philosophy (2014) 0.06
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    Abstract
    What is knowledge representation and reasoning (KR&R)? Alas, a thorough account would require a book, or at least a dedicated, full-length paper, but here we shall have to make do with something simpler. Since most readers are likely to have an intuitive grasp of the essence of KR&R, our simple account should suffice. The interesting thing is that this simple account itself makes reference to some of the foundational distinctions in the field of philosophy. These distinctions also play a central role in artificial intelligence (AI) and computer science. To begin with, the first distinction in KR&R is that we identify knowledge with knowledge that such-and-such holds (possibly to a degree), rather than knowing how. If you ask an expert tennis player how he manages to serve a ball at 130 miles per hour on his first serve, and then serve a safer, topspin serve on his second should the first be out, you may well receive a confession that, if truth be told, this athlete can't really tell you. He just does it; he does something he has been doing since his youth. Yet, there is no denying that he knows how to serve. In contrast, the knowledge in KR&R must be expressible in declarative statements. For example, our tennis player knows that if his first serve lands outside the service box, it's not in play. He thus knows a proposition, conditional in form.
    Date
    9. 2.2017 19:22:14
    Source
    Philosophy, computing and information science. Eds.: R. Hagengruber u. U.V. Riss
  4. Ferrández, O.; Izquierdo, R.; Ferrández, S.; Vicedo González, J.L.: Addressing ontology-based question answering with collections of user queries (2009) 0.04
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  5. Calegari, S.; Sanchez, E.: Object-fuzzy concept network : an enrichment of ontologies in semantic information retrieval (2008) 0.03
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    Abstract
    This article shows how a fuzzy ontology-based approach can improve semantic documents retrieval. After formally defining a fuzzy ontology and a fuzzy knowledge base, a special type of new fuzzy relationship called (semantic) correlation, which links the concepts or entities in a fuzzy ontology, is discussed. These correlations, first assigned by experts, are updated after querying or when a document has been inserted into a database. Moreover, in order to define a dynamic knowledge of a domain adapting itself to the context, it is shown how to handle a tradeoff between the correct definition of an object, taken in the ontology structure, and the actual meaning assigned by individuals. The notion of a fuzzy concept network is extended, incorporating database objects so that entities and documents can similarly be represented in the network. Information retrieval (IR) algorithm, using an object-fuzzy concept network (O-FCN), is introduced and described. This algorithm allows us to derive a unique path among the entities involved in the query to obtain maxima semantic associations in the knowledge domain. Finally, the study has been validated by querying a database using fuzzy recall, fuzzy precision, and coefficient variant measures in the crisp and fuzzy cases.
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  6. Green, R.: See-also relationships in the Dewey Decimal Classification (2011) 0.03
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    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  7. OWL Web Ontology Language Test Cases (2004) 0.02
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    Date
    14. 8.2011 13:33:22
    Editor
    Carroll, J.J. u. J. de Roo
  8. Green, R.: Semantic types, classes, and instantiation (2006) 0.02
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    Source
    Knowledge organization for a global learning society: Proceedings of the 9th International ISKO Conference, 4-7 July 2006, Vienna, Austria. Hrsg.: G. Budin, C. Swertz u. K. Mitgutsch
  9. Schmitz-Esser, W.: Formalizing terminology-based knowledge for an ontology independently of a particular language (2008) 0.02
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    Abstract
    Last word ontological thought and practice is exemplified on an axiomatic framework [a model for an Integrative Cross-Language Ontology (ICLO), cf. Poli, R., Schmitz-Esser, W., forthcoming 2007] that is highly general, based on natural language, multilingual, can be implemented as topic maps and may be openly enhanced by software available for particular languages. Basics of ontological modelling, conditions for construction and maintenance, and the most salient points in application are addressed, such as cross-language text mining and knowledge generation. The rationale is to open the eyes for the tremendous potential of terminology-based ontologies for principled Knowledge Organization and the interchange and reuse of formalized knowledge.
    Source
    Kompatibilität, Medien und Ethik in der Wissensorganisation - Compatibility, Media and Ethics in Knowledge Organization: Proceedings der 10. Tagung der Deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation Wien, 3.-5. Juli 2006 - Proceedings of the 10th Conference of the German Section of the International Society of Knowledge Organization Vienna, 3-5 July 2006. Ed.: H.P. Ohly, S. Netscher u. K. Mitgutsch
  10. Poli, R.: Upper ontologies hold it together (2008) 0.02
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    Source
    Kompatibilität, Medien und Ethik in der Wissensorganisation - Compatibility, Media and Ethics in Knowledge Organization: Proceedings der 10. Tagung der Deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation Wien, 3.-5. Juli 2006 - Proceedings of the 10th Conference of the German Section of the International Society of Knowledge Organization Vienna, 3-5 July 2006. Ed.: H.P. Ohly, S. Netscher u. K. Mitgutsch
  11. Davies, J.; Weeks, R.; Krohn, U.: QuizRDF: search technology for the Semantic Web (2004) 0.02
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  12. Prieto-Díaz, R.: ¬A faceted approach to building ontologies (2002) 0.02
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    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  13. Priss, U.: Faceted information representation (2000) 0.02
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    Date
    22. 1.2016 17:47:06
  14. Priss, U.: Faceted knowledge representation (1999) 0.02
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    Date
    22. 1.2016 17:30:31
  15. Handbook on ontologies (2004) 0.02
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    Editor
    Staab, S. u. R. Studer
  16. Green, R.; Panzer, M.: Relations in the notational hierarchy of the Dewey Decimal Classification (2011) 0.02
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    Source
    Classification and ontology: formal approaches and access to knowledge: proceedings of the International UDC Seminar, 19-20 September 2011, The Hague, The Netherlands. Eds.: A. Slavic u. E. Civallero
  17. Gnoli, C.; Pullman, T.; Cousson, P.; Merli, G.; Szostak, R.: Representing the structural elements of a freely faceted classification (2011) 0.02
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    Source
    Classification and ontology: formal approaches and access to knowledge: proceedings of the International UDC Seminar, 19-20 September 2011, The Hague, The Netherlands. Eds.: A. Slavic u. E. Civallero
  18. 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
    Semantisches Umfeld in Indexierung u. Retrieval
  19. Mainzer, K.: ¬The emergence of self-conscious systems : from symbolic AI to embodied robotics (2014) 0.02
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    Source
    Philosophy, computing and information science. Eds.: R. Hagengruber u. U.V. Riss
  20. Smith, B.: ¬The relevance of philosophical ontology to information and computer science (2014) 0.02
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    Source
    Philosophy, computing and information science. Eds.: R. Hagengruber u. U.V. Riss

Years

Types

  • a 132
  • el 45
  • m 11
  • n 7
  • s 6
  • x 4
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