Search (24 results, page 1 of 2)

  • × theme_ss:"Semantic Web"
  • × type_ss:"el"
  1. OWL Web Ontology Language Test Cases (2004) 0.06 
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    Date
    14. 8.2011 13:33:22
    Type
    n
  2. Monireh, E.; Sarker, M.K.; Bianchi, F.; Hitzler, P.; Doran, D.; Xie, N.: Reasoning over RDF knowledge bases using deep learning (2018) 0.04 
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    Date
    16.11.2018 14:22:01
  3. Dextre Clarke, S.G.: Challenges and opportunities for KOS standards (2007) 0.02 
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    Date
    22. 9.2007 15:41:14
  4. Hori, M.; Euzenat, J.; Patel-Schneider, P.F.: OWL Web Ontology Language XML Presentation Syntax (2003) 0.02 
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  5. OWL Web Ontology Language Use Cases and Requirements (2004) 0.02 
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  6. Broughton, V.: Automatic metadata generation : Digital resource description without human intervention (2007) 0.02 
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    Date
    22. 9.2007 15:41:14
  7. Tudhope, D.: Knowledge Organization System Services : brief review of NKOS activities and possibility of KOS registries (2007) 0.02 
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    22. 9.2007 15:41:14
  8. OWL 2 Web Ontology Language Document Overview (2009) 0.02 
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  9. RDF/XML Syntax Specification (Revised) : W3C Recommendation 10 February 2004 (2004) 0.02 
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    Abstract
    The Resource Description Framework (RDF) is a general-purpose language for representing information in the Web. This document defines an XML syntax for RDF called RDF/XML in terms of Namespaces in XML, the XML Information Set and XML Base. The formal grammar for the syntax is annotated with actions generating triples of the RDF graph as defined in RDF Concepts and Abstract Syntax. The triples are written using the N-Triples RDF graph serializing format which enables more precise recording of the mapping in a machine processable form. The mappings are recorded as tests cases, gathered and published in RDF Test Cases.
  10. 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) 0.02 
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  11. Köstlbacher, A. (Übers.): OWL Web Ontology Language Überblick (2004) 0.01 
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  12. OWL Web Ontology Language Overview (2004) 0.01 
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  13. OWL Web Ontology Language Semantics and Abstract Syntax (2004) 0.01 
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  14. Ding, L.; Finin, T.; Joshi, A.; Peng, Y.; Cost, R.S.; Sachs, J.; Pan, R.; Reddivari, P.; Doshi, V.: Swoogle : a Semantic Web search and metadata engine (2004) 0.01 
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    Abstract
    Swoogle is a crawler-based indexing and retrieval system for the Semantic Web, i.e., for Web documents in RDF or OWL. It extracts metadata for each discovered document, and computes relations between documents. Discovered documents are also indexed by an information retrieval system which can use either character N-Gram or URIrefs as keywords to find relevant documents and to compute the similarity among a set of documents. One of the interesting properties we compute is rank, a measure of the importance of a Semantic Web document.
  15. SKOS Simple Knowledge Organization System Primer (2009) 0.01 
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  16. Eckert, K.: SKOS: eine Sprache für die Übertragung von Thesauri ins Semantic Web (2011) 0.01 
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    Date
    15. 3.2011 19:21:22
  17. OWL Web Ontology Language Guide (2004) 0.01 
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  18. Mayfield, J.; Finin, T.: Information retrieval on the Semantic Web : integrating inference and retrieval 0.01 
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    Date
    12. 2.2011 17:35:22
  19. Heflin, J.; Hendler, J.: Semantic interoperability on the Web (2000) 0.01 
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    Date
    11. 5.2013 19:22:18
  20. Radhakrishnan, A.: Swoogle : an engine for the Semantic Web (2007) 0.01 
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    Content
    "Swoogle, the Semantic web search engine, is a research project carried out by the ebiquity research group in the Computer Science and Electrical Engineering Department at the University of Maryland. It's an engine tailored towards finding documents on the semantic web. The whole research paper is available here. Semantic web is touted as the next generation of online content representation where the web documents are represented in a language that is not only easy for humans but is machine readable (easing the integration of data as never thought possible) as well. And the main elements of the semantic web include data model description formats such as Resource Description Framework (RDF), a variety of data interchange formats (e.g. RDF/XML, Turtle, N-Triples), and notations such as RDF Schema (RDFS), the Web Ontology Language (OWL), all of which are intended to provide a formal description of concepts, terms, and relationships within a given knowledge domain (Wikipedia). And Swoogle is an attempt to mine and index this new set of web documents. The engine performs crawling of semantic documents like most web search engines and the search is available as web service too. The engine is primarily written in Java with the PHP used for the front-end and MySQL for database. Swoogle is capable of searching over 10,000 ontologies and indexes more that 1.3 million web documents. It also computes the importance of a Semantic Web document. The techniques used for indexing are the more google-type page ranking and also mining the documents for inter-relationships that are the basis for the semantic web. For more information on how the RDF framework can be used to relate documents, read the link here. Being a research project, and with a non-commercial motive, there is not much hype around Swoogle. However, the approach to indexing of Semantic web documents is an approach that most engines will have to take at some point of time. When the Internet debuted, there were no specific engines available for indexing or searching. The Search domain only picked up as more and more content became available. One fundamental question that I've always wondered about it is - provided that the search engines return very relevant results for a query - how to ascertain that the documents are indeed the most relevant ones available. There is always an inherent delay in indexing of document. Its here that the new semantic documents search engines can close delay. Experimenting with the concept of Search in the semantic web can only bore well for the future of search technology."

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  • n 11
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Themes