Search (110 results, page 1 of 6)

  • × year_i:[2000 TO 2010}
  • × theme_ss:"Wissensrepräsentation"
  1. Knorz, G.; Rein, B.: Semantische Suche in einer Hochschulontologie (2005) 0.04 
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    Date
    11. 2.2011 18:22:58
    Source
    Information - Wissenschaft und Praxis. 56(2005) H.5/6, S.281-290
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  2. Loehrlein, A.; Jacob, E.K.; Lee, S.; Yang, K.: Development of heuristics in a hybrid approach to faceted classification (2006) 0.04 
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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
  3. 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
  4. Priss, U.: Faceted information representation (2000) 0.02 
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    Date
    22. 1.2016 17:47:06
  5. Knorz, G.; Rein, B.: Semantische Suche in einer Hochschulontologie : Ontologie-basiertes Information-Filtering und -Retrieval mit relationalen Datenbanken (2005) 0.02 
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    Date
    11. 2.2011 18:22:25
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  6. Smolnik, S.; Nastansky, L.: K-Discovery : Identifikation von verteilten Wissensstrukturen in einer prozessorientierten Groupware-Umgebung (2004) 0.02 
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    Source
    Wissensorganisation und Edutainment: Wissen im Spannungsfeld von Gesellschaft, Gestaltung und Industrie. Proceedings der 7. Tagung der Deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation, Berlin, 21.-23.3.2001. Hrsg.: C. Lehner, H.P. Ohly u. G. Rahmstorf
  7. Beppler, F.D.; Fonseca, F.T.; Pacheco, R.C.S.: Hermeneus: an architecture for an ontology-enabled information retrieval (2008) 0.02 
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    Date
    28.11.2016 12:43:22
    Source
    http://www.personal.psu.edu/faculty/f/u/fuf1/hermeneus/Hermeneus_architecture.pdf
  8. Wang, H.; Liu, Q.; Penin, T.; Fu, L.; Zhang, L.; Tran, T.; Yu, Y.; Pan, Y.: Semplore: a scalable IR approach to search the Web of Data (2009) 0.02 
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  9. Dobrev, P.; Kalaydjiev, O.; Angelova, G.: From conceptual structures to semantic interoperability of content (2007) 0.02 
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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
  10. Gendt, M. van; Isaac, I.; Meij, L. van der; Schlobach, S.: Semantic Web techniques for multiple views on heterogeneous collections : a case study (2006) 0.02 
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    Source
    Research and advanced technology for digital libraries : 10th European conference, proceedings / ECDL 2006, Alicante, Spain, September 17 - 22, 2006
  11. Peters, I.; Stock, W.G.: Folksonomies in Wissensrepräsentation und Information Retrieval (2008) 0.02 
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    Abstract
    Die populären Web 2.0-Dienste werden von Prosumern - Produzenten und gleichsam Konsumenten - nicht nur dazu genutzt, Inhalte zu produzieren, sondern auch, um sie inhaltlich zu erschließen. Folksonomies erlauben es dem Nutzer, Dokumente mit eigenen Schlagworten, sog. Tags, zu beschreiben, ohne dabei auf gewisse Regeln oder Vorgaben achten zu müssen. Neben einigen Vorteilen zeigen Folksonomies aber auch zahlreiche Schwächen (u. a. einen Mangel an Präzision). Um diesen Nachteilen größtenteils entgegenzuwirken, schlagen wir eine Interpretation der Tags als natürlichsprachige Wörter vor. Dadurch ist es uns möglich, Methoden des Natural Language Processing (NLP) auf die Tags anzuwenden und so linguistische Probleme der Tags zu beseitigen. Darüber hinaus diskutieren wir Ansätze und weitere Vorschläge (Tagverteilungen, Kollaboration und akteurspezifische Aspekte) hinsichtlich eines Relevance Rankings von getaggten Dokumenten. Neben Vorschlägen auf ähnliche Dokumente ("more like this!") erlauben Folksonomies auch Hinweise auf verwandte Nutzer und damit auf Communities ("more like me!").
    Source
    Information - Wissenschaft und Praxis. 59(2008) H.2, S.77-90
  12. Wang, Y.-H.; Jhuo, P.-S.: ¬A semantic faceted search with rule-based inference (2009) 0.02 
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    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  13. Endres-Niggemeyer, B.; Jauris-Heipke, S.; Pinsky, S.M.; Ulbricht, U.: Wissen gewinnen durch Wissen : Ontologiebasierte Informationsextraktion (2006) 0.01 
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    Source
    Information - Wissenschaft und Praxis. 57(2006) H.6/7, S.301-308
  14. Ulrich, W.: Simple Knowledge Organisation System (2007) 0.01 
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    Source
    http://cs.uni-muenster.de/u/lammers/EDU/ss07/AgentenSemanticWeb/Abgaben/Ulrich%20Wolfgang%20-%20Vortrag%20-%20SKOS.pdf
  15. Stuckenschmidt, H.; Harmelen, F van; Waard, A. de; Scerri, T.; Bhogal, R.; Buel, J. van; Crowlesmith, I.; Fluit, C.; Kampman, A.; Broekstra, J.; Mulligen, E. van: Exploring large document repositories with RDF technology : the DOPE project (2004) 0.01 
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    Content
    Vgl.: Waard, A. de, C. Fluit u. F. van Harmelen: Drug Ontology Project for Elsevier (DOPE). In: http://www.w3.org/2001/sw/sweo/public/UseCases/Elsevier/Elsevier_Aduna_VU.pdf.
  16. RDF Semantics (2004) 0.01 
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    Editor
    Hayes, P. u. B. McBride
  17. Vallet, D.; Fernández, M.; Castells, P.: ¬An ontology-based information retrieval model (2005) 0.01 
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    Source
    The Semantic Web: research and applications ; second European Semantic WebConference, ESWC 2005, Heraklion, Crete, Greece, May 29 - June 1, 2005 ; proceedings. Eds.: A. Gómez-Pérez u. J. Euzenat
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  18. Weller, K.: Ontologien: Stand und Entwicklung der Semantik für WorldWideWeb (2009) 0.01 
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    Abstract
    Die Idee zu einem semantischen Web wurde maßgeblich geprägt (wenn auch nicht initiiert) durch eine Veröffentlichung von Tim Berners Lee, James Hendler und Ora Lassila im Jahre 2001. Darin skizzieren die Autoren ihre Version von einem erweiterten und verbesserten World Wide Web: Daten sollen so aufbereitet werden, dass nicht nur Menschen diese lesen können, sondern dass auch Computer in die Lage versetzt werden, diese zu verarbeiten und sinnvoll zu kombinieren. Sie beschreiben ein Szenario, in dem "Web agents" dem Nutzer bei der Durchführung komplexer Suchanfragen helfen, wie beispielsweise "finde einen Arzt, der eine bestimmte Behandlung anbietet, dessen Praxis in der Nähe meiner Wohnung liegt und dessen Öffnungszeiten mit meinem Terminkalender zusammenpassen". Die große Herausforderung liegt hierbei darin, dass Informationen, die über mehrere Webseiten verteilt sind, gesammelt und zu einer sinnvollen Antwort kombiniert werden müssen. Man spricht dabei vom Problem der Informationsintegration (Information Integration). Diese Vision der weltweiten Datenintegration in einem Semantic Web wurde seither vielfach diskutiert, erweitert und modifiziert, an der technischen Realisation arbeitet eine Vielzahl verschiedener Forschungseinrichtungen. Einigkeit besteht dahingehend, dass eine solche Idee nur mit der Hilfe neuer bedeutungstragender Metadaten verwirklicht werden kann. Benötigt werden also neue Ansätze zur Indexierung von Web Inhalten, die eine Suche über Wortbedeutungen und nicht über bloße Zeichenketten ermöglichen können. So soll z.B. erkannt werden, dass es sich bei "Heinrich Heine" um den Namen einer Person handelt und bei "Düsseldorf" um den Namen einer Stadt. Darüber hinaus sollen auch Verbindungen zwischen einzelnen Informationseinheiten festgehalten werden, beispielsweise dass Heinrich Heine in Düsseldorf wohnte. Wenn solche semantischen Relationen konsequent eingesetzt werden, können sie in vielen Fällen ausgenutzt werden, um neue Schlussfolgerungen zu ziehen.
  19. Hoang, H.H.; Tjoa, A.M: ¬The state of the art of ontology-based query systems : a comparison of existing approaches (2006) 0.01 
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    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  20. Reif, G.: Semantische Annotation (2006) 0.01 
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    Source
    Semantic Web: Wege zur vernetzten Wissensgesellschaft. Hrsg.: T. Pellegrini, u. A. Blumauer

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