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
Link To Document :
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