Search (38 results, page 1 of 2)

  • × theme_ss:"Wissensrepräsentation"
  • × type_ss:"el"
  • × year_i:[2000 TO 2010}
  1. Knorz, G.; Rein, B.: Semantische Suche in einer Hochschulontologie : Ontologie-basiertes Information-Filtering und -Retrieval mit relationalen Datenbanken (2005) 0.04
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    Abstract
    Ontologien werden eingesetzt, um durch semantische Fundierung insbesondere für das Dokumentenretrieval eine grundlegend bessere Basis zu haben, als dies gegenwärtiger Stand der Technik ist. Vorgestellt wird eine an der FH Darmstadt entwickelte und eingesetzte Ontologie, die den Gegenstandsbereich Hochschule sowohl breit abdecken und gleichzeitig differenziert semantisch beschreiben soll. Das Problem der semantischen Suche besteht nun darin, dass sie für Informationssuchende so einfach wie bei gängigen Suchmaschinen zu nutzen sein soll, und gleichzeitig auf der Grundlage des aufwendigen Informationsmodells hochwertige Ergebnisse liefern muss. Es wird beschrieben, welche Möglichkeiten die verwendete Software K-Infinity bereitstellt und mit welchem Konzept diese Möglichkeiten für eine semantische Suche nach Dokumenten und anderen Informationseinheiten (Personen, Veranstaltungen, Projekte etc.) eingesetzt werden.
    Date
    11. 2.2011 18:22:25
    Object
    K-Infinity
  2. Kottmann, N.; Studer, T.: Improving semantic query answering (2006) 0.03
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    Abstract
    The retrieval problem is one of the main reasoning tasks for knowledge base systems. Given a knowledge base K and a concept C, the retrieval problem consists of finding all individuals a for which K logically entails C(a). We present an approach to answer retrieval queries over (a restriction of) OWL ontologies. Our solution is based on reducing the retrieval problem to a problem of evaluating an SQL query over a database constructed from the original knowledge base. We provide complete answers to retrieval problems. Still, our system performs very well as is shown by a standard benchmark.
    Pages
    10 S
  3. Hinkelmann, K.: Ontopia Omnigator : ein Werkzeug zur Einführung in Topic Maps (20xx) 0.01
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  4. Bittner, T.; Donnelly, M.; Winter, S.: Ontology and semantic interoperability (2006) 0.01
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    Date
    3.12.2016 18:39:22
  5. Weller, K.: Ontologien: Stand und Entwicklung der Semantik für WorldWideWeb (2009) 0.01
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    Source
    LIBREAS: Library ideas. no.15, 2009, S.5-12
  6. Zhang, L.; Liu, Q.L.; Zhang, J.; Wang, H.F.; Pan, Y.; Yu, Y.: Semplore: an IR approach to scalable hybrid query of Semantic Web data (2007) 0.01
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    Pages
    S.652-665
    Source
    Proceeding ISWC'07/ASWC'07 : Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference. Ed.: K. Aberer et al
  7. Tudhope, D.; Hodge, G.: Terminology registries (2007) 0.01
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    Date
    26.12.2011 13:22:07
  8. OWL Web Ontology Language Test Cases (2004) 0.01
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    Date
    14. 8.2011 13:33:22
  9. Definition of the CIDOC Conceptual Reference Model (2003) 0.01
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    Date
    6. 8.2010 14:22:28
  10. Beppler, F.D.; Fonseca, F.T.; Pacheco, R.C.S.: Hermeneus: an architecture for an ontology-enabled information retrieval (2008) 0.01
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    Date
    28.11.2016 12:43:22
  11. Teutsch, K.: ¬Die Welt ist doch eine Scheibe : Google-Herausforderer eyePlorer (2009) 0.01
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    Source
    http://www.faz.net/s/Rub4521147CD87A4D9390DA8578416FA2EC/Doc~EE86EE2941DCB4B80833E7F07A08860BE~ATpl~Ecommon~Scontent.html
  12. Aitken, S.; Reid, S.: Evaluation of an ontology-based information retrieval tool (2000) 0.00
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  13. Wielinga, B.; Wielemaker, J.; Schreiber, G.; Assem, M. van: Methods for porting resources to the Semantic Web (2004) 0.00
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    Abstract
    Ontologies will play a central role in the development of the Semantic Web. It is unrealistic to assume that such ontologies will be developed from scratch. Rather, we assume that existing resources such as thesauri and lexical data bases will be reused in the development of ontologies for the Semantic Web. In this paper we describe a method for converting existing source material to a representation that is compatible with Semantic Web languages such as RDF(S) and OWL. The method is illustrated with three case studies: converting Wordnet, AAT and MeSH to RDF(S) and OWL.
    Source
    Proceedings of the First European Semantic Web Symposium (ESWS2004), Eds.: C. Bussler, J. Davies, D. Fensel and R. Studer. 2004. S.299-311
  14. SKOS2OWL : Online tool for deriving OWL ontologies from SKOS categorization schemas (2007) 0.00
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    Abstract
    SKOS2OWL is an online tool that converts hierarchical classifications available in the W3C SKOS (Simple Knowledge Organization Systems) format into RDF-S or OWL ontologies. In many cases, the resulting ontologies can be used directly. If not, they can be refined using standard ontology engineering tools like e.g. Protégé.
  15. Assem, M. van; Menken, M.R.; Schreiber, G.; Wielemaker, J.; Wielinga, B.: ¬A method for converting thesauri to RDF/OWL (2004) 0.00
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    Abstract
    This paper describes a method for converting existing thesauri and related resources from their native format to RDF(S) and OWL. The method identifies four steps in the conversion process. In each step, decisions have to be taken with respect to the syntax or semantics of the resulting representation. Each step is supported through a number of guidelines. The method is illustrated through conversions of two large thesauri: MeSH and WordNet.
    Pages
    S.17-31
  16. Wang, Y.-H.; Jhuo, P.-S.: ¬A semantic faceted search with rule-based inference (2009) 0.00
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    Pages
    S.1002-1008
  17. Wachsmann, L.: Entwurf und Implementierung eines Modells zur Visualisierung von OWL-Properties als Protégé-PlugIn mit Layoutalgorithmen aus Graphviz (2008) 0.00
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    Pages
    125 S
  18. Haas, M.: Methoden der künstlichen Intelligenz in betriebswirtschaftlichen Anwendungen (2006) 0.00
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    Pages
    94 S
  19. Nielsen, R.D.; Ward, W.; Martin, J.H.; Palmer, M.: Extracting a representation from text for semantic analysis (2008) 0.00
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  20. Davies, J.; Weeks, R.: QuizRDF: search technology for the Semantic Web (2004) 0.00
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    Abstract
    An information-seeking system is described which combines traditional keyword querying of WWW resources with the ability to browse and query against RD annotations of those resources. RDF(S) and RDF are used to specify and populate an ontology and the resultant RDF annotations are then indexed along with the full text of the annotated resources. The resultant index allows both keyword querying against the full text of the document and the literal values occurring in the RDF annotations, along with the ability to browse and query the ontology. We motivate our approach as a key enabler for fully exploiting the Semantic Web in the area of knowledge management and argue that the ability to combine searching and browsing behaviours more fully supports a typical information-seeking task. The approach is characterised as "low threshold, high ceiling" in the sense that where RDF annotations exist they are exploited for an improved information-seeking experience but where they do not yet exist, a search capability is still available.
    Pages
    S.40112