Search (37 results, page 1 of 2)

  • × theme_ss:"Wissensrepräsentation"
  • × type_ss:"el"
  • × year_i:[2000 TO 2010}
  1. Bittner, T.; Donnelly, M.; Winter, S.: Ontology and semantic interoperability (2006) 0.02 
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    Date
    3.12.2016 18:39:22
  2. Tudhope, D.; Hodge, G.: Terminology registries (2007) 0.02 
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    Date
    26.12.2011 13:22:07
  3. OWL Web Ontology Language Test Cases (2004) 0.01 
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    Date
    14. 8.2011 13:33:22
  4. Knorz, G.; Rein, B.: Semantische Suche in einer Hochschulontologie : Ontologie-basiertes Information-Filtering und -Retrieval mit relationalen Datenbanken (2005) 0.01 
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    Date
    11. 2.2011 18:22:25
  5. Definition of the CIDOC Conceptual Reference Model (2003) 0.01 
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    Date
    6. 8.2010 14:22:28
  6. 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
  7. Aitken, S.; Reid, S.: Evaluation of an ontology-based information retrieval tool (2000) 0.00 
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  8. 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
  9. 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.
  10. 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
  11. 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
  12. Kottmann, N.; Studer, T.: Improving semantic query answering (2006) 0.00 
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    Pages
    10 S
  13. 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
  14. Haas, M.: Methoden der künstlichen Intelligenz in betriebswirtschaftlichen Anwendungen (2006) 0.00 
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    Pages
    94 S
  15. 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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    Pages
    S.241-244
  16. 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
  17. Scheir, P.; Pammer, V.; Lindstaedt, S.N.: Information retrieval on the Semantic Web : does it exist? (2007) 0.00 
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    Pages
    S.252-257
  18. Bechhofer, S.; Harmelen, F. van; Hendler, J.; Horrocks, I.; McGuinness, D.L.; Patel-Schneider, P.F.; Stein, L.A.: OWL Web Ontology Language Reference (2004) 0.00 
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  19. Pepper, S.: ¬The TAO of topic maps : finding the way in the age of infoglut (2002) 0.00 
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  20. Pepper, S.; Moore, G.; TopicMaps.Org Authoring Group: XML Topic Maps (XTM) 1.0 : TopicMaps.Org Specification (2001) 0.00 
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