Title :
Logic-textual and neuronet approach to search information
Author :
Lyashkevych, Vasyl ; Olar, Oksana ; Mirosh, Oleksandr
Author_Institution :
Yuriy Fedkovych Chernivtsi Nat. Univ., Chernivtsi, Ukraine
Abstract :
We consider the possibility to avoid duplication of information to the user in the search of information about the object search. This result is achieved through ongoing evaluation of all documents are search based utility. According to the value selected the best parts of the text, which later included in the structured document and is the result of information search.
Keywords :
formal logic; information retrieval; neural nets; text analysis; document structure; information search; logic-textual approach; neuronet approach; object search; search-based utility; Conferences; Data acquisition; Information analysis; Information retrieval; Information theory; Knowledge engineering; Load flow analysis; Neural networks; Search engines; Search methods; Information retrieval; Information services; Information theory; Load flow analysis; Neural network architecture; Neural networks; Search methods;
Conference_Titel :
Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2009. IDAACS 2009. IEEE International Workshop on
Conference_Location :
Rende
Print_ISBN :
978-1-4244-4901-9
Electronic_ISBN :
978-1-4244-4882-1
DOI :
10.1109/IDAACS.2009.5342920
