• DocumentCode
    443952
  • Title

    Neuroscience and precisiated natural language-based search and question answering system: NeuSearch

  • Author

    Nikravesh, Masoud

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., California Univ., CA, USA
  • Volume
    1
  • fYear
    2005
  • fDate
    25-27 July 2005
  • Firstpage
    45
  • Abstract
    Design of any new intelligent search engine should be at least based on two main motivations. First, the Web environment is, for the most part, unstructured and imprecise. To deal with information in the Web environment what is needed is a logic that supports modes of reasoning which are approximate rather than exact. While searches may retrieve thousands of hits, finding decision-relevant and query-relevant information in an imprecise environment is a challenging problem, which has to be addressed. Second and less obvious, is deduction in an unstructured and imprecise environment given the huge stream of complex information.
  • Keywords
    Internet; information retrieval; natural languages; ontologies (artificial intelligence); search engines; Google; NeuSearch design; Web environment; intelligent search engine; natural language; neuroscience; query-relevant information; question answering system; Context modeling; Fuzzy sets; Indexing; Information retrieval; Internet; Logic; Neuroscience; Ontologies; Search engines; Web sites; Google™; Neuroscience; PNL; Q&A; Search Engine; Teoma;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Granular Computing, 2005 IEEE International Conference on
  • Print_ISBN
    0-7803-9017-2
  • Type

    conf

  • DOI
    10.1109/GRC.2005.1547233
  • Filename
    1547233