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  • × theme_ss:"Semantic Web"
  • × theme_ss:"Wissensrepräsentation"
  • × type_ss:"el"
  1. OWL Web Ontology Language Test Cases (2004) 0.03 
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    Date
    14. 8.2011 13:33:22
    Language
    e
  2. Mayfield, J.; Finin, T.: Information retrieval on the Semantic Web : integrating inference and retrieval 0.03 
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    Date
    12. 2.2011 17:35:22
    Language
    e
  3. Hollink, L.; Assem, M. van: Estimating the relevance of search results in the Culture-Web : a study of semantic distance measures (2010) 0.02 
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    Date
    26.12.2011 13:40:22
    Language
    e
  4. Monireh, E.; Sarker, M.K.; Bianchi, F.; Hitzler, P.; Doran, D.; Xie, N.: Reasoning over RDF knowledge bases using deep learning (2018) 0.02 
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    Date
    16.11.2018 14:22:01
    Language
    e
  5. Hitzler, P.; Janowicz, K.: Ontologies in a data driven world : finding the middle ground (2013) 0.00 
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  6. RDF Primer : W3C Recommendation 10 February 2004 (2004) 0.00 
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    Editor
    Manola, F. u. E. Miller
    Language
    e
  7. RDF Semantics (2004) 0.00 
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  8. Sánchez, M.F.: Semantically enhanced Information Retrieval : an ontology-based approach (2006) 0.00 
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  9. SKOS Simple Knowledge Organization System Primer (2009) 0.00 
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    Editor
    Isaac, A. u. E. Summers
    Language
    e
  10. RDF Vocabulary Description Language 1.0 : RDF Schema (2004) 0.00 
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  11. Resource Description Framework (RDF) (2004) 0.00 
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  12. Resource Description Framework (RDF) : Concepts and Abstract Syntax (2004) 0.00 
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  13. Hori, M.; Euzenat, J.; Patel-Schneider, P.F.: OWL Web Ontology Language XML Presentation Syntax (2003) 0.00 
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  14. OWL Web Ontology Language Use Cases and Requirements (2004) 0.00 
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  15. Gómez-Pérez, A.; Corcho, O.: Ontology languages for the Semantic Web (2015) 0.00 
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    Abstract
    Ontologies have proven to be an essential element in many applications. They are used in agent systems, knowledge management systems, and e-commerce platforms. They can also generate natural language, integrate intelligent information, provide semantic-based access to the Internet, and extract information from texts in addition to being used in many other applications to explicitly declare the knowledge embedded in them. However, not only are ontologies useful for applications in which knowledge plays a key role, but they can also trigger a major change in current Web contents. This change is leading to the third generation of the Web-known as the Semantic Web-which has been defined as "the conceptual structuring of the Web in an explicit machine-readable way."1 This definition does not differ too much from the one used for defining an ontology: "An ontology is an explicit, machinereadable specification of a shared conceptualization."2 In fact, new ontology-based applications and knowledge architectures are developing for this new Web. A common claim for all of these approaches is the need for languages to represent the semantic information that this Web requires-solving the heterogeneous data exchange in this heterogeneous environment. Here, we don't decide which language is best of the Semantic Web. Rather, our goal is to help developers find the most suitable language for their representation needs. The authors analyze the most representative ontology languages created for the Web and compare them using a common framework.
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  16. OWL 2 Web Ontology Language Document Overview (2009) 0.00 
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  17. RDF/XML Syntax Specification (Revised) : W3C Recommendation 10 February 2004 (2004) 0.00 
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  18. Scheir, P.; Pammer, V.; Lindstaedt, S.N.: Information retrieval on the Semantic Web : does it exist? (2007) 0.00 
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  19. Best Practice Recipes for Publishing RDF Vocabularies (2008) 0.00 
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  20. 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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