Intelligent Tools for Semantic Web Navigator Design

نویسندگان

  • Igor P. Kuznetsov
  • Mikhail M. Charnine
  • Elena B. Kozerenko
  • Nikolay Somin
  • Vladimir Nikolaev
  • Andrew Matskevich
چکیده

This paper describes the methods and instruments for semantic web navigator design which is a novel system providing semantic drive for Internet users. The solutions proposed rest on the statistical paradigm for knowledge extraction and the semantic presentations based on the Extended Semantic Networks (ESN) mechanism. The approach presented comprises rule-based and stochastic techniques for text processing and extracted entities and relations mapping onto the structures of the knowledge base. The work is supported by the Russian Foundation for Basic Research, grant 11-06-00476-í

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تاریخ انتشار 2012