DocumentCode
2345932
Title
Research on natural language IR system based on genetic algorithm and VSM
Author
Kang, Hai-Yan ; Li, Yan-Fang ; Teng, Gui-fa ; Fan, Xiao-Zhong ; He, Xiao-Yang
Author_Institution
Sch. of Inf. Sci. & Technol., Hebei Agric. Univ., Baoding, China
Volume
2
fYear
2004
fDate
26-29 Aug. 2004
Firstpage
1220
Abstract
This work brought forward a kind of arithmetic of information retrieval, namely combining the positive genes of genetic algorithm and vector space model on the base of nature language. Genetic algorithm is used for a predication case-frame of query in this system. Based on HowNet, this algorithm gains inherent characteristics of data objects, and retrieve the useful information according to those characteristics. So the system implements information retrieval from hierarchical knowledge of concepts. This work also introduces the key technology of information retrieval. According to the research on the algorithm model, we design an IR system in financial domain. It is the most effective particularly in question-answering system. In addition, it can be extended to the other domain. It considerably enhances the intelligence degree of information retrieval by this algorithm.
Keywords
genetic algorithms; information retrieval; natural languages; HowNet; financial domain; genetic algorithm; information retrieval; natural language IR system; question-answering system; vector space model; Artificial intelligence; Genetic algorithms; Indexing; Information retrieval; Knowledge management; Natural languages; Space technology; Tagging; Web server; XML;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN
0-7803-8403-2
Type
conf
DOI
10.1109/ICMLC.2004.1382377
Filename
1382377
Link To Document