Analytical study on intelligent information retrieval system using semantic network

2016 ◽  
Author(s):  
Sanjib Kumar Sahu ◽  
D. P. Mahapatra ◽  
R. C. Balabantaray
Keyword(s):  
Information Retrieval ◽  
Analytical Study ◽  
Retrieval System ◽  
Semantic Network ◽  
Information Retrieval System ◽  
Intelligent Information Retrieval ◽  
Intelligent Information

Intelligent Information Retrieval System Based on Muti-Agent Model

2013 ◽  
Vol 765-767 ◽  
pp. 1529-1532
Author(s):  
Zhao Dan Wu ◽  
Chang Feng Shi ◽  
Yi Lu
Keyword(s):  
Information Retrieval ◽  
Cognitive Theory ◽  
Retrieval System ◽  
Information Retrieval System ◽  
Theoretical Derivation ◽  
Agent Model ◽  
Intelligent Information Retrieval ◽  
Multi Agent ◽  
Agent Intelligence ◽  
Intelligent Information

The intelligent information retrieval model discussed in this paper is constructed by multi-agent. Currently, BDI cognitive theory is accepted widely by the scholars of this field, but the related researches mainly focus on the theoretical derivation and presentation of symbols, lack of model facing practical application. In this article, a dynamic rule-based reasoning model is proposed. The model based on BDI theory is an expression of agent intelligence. The basic logical reasoning of the BDI theory is extended in this article. The author not only introduces several functions to study the dynamic changes of agents mental state, but also give a detailed description of how to use the theory of production rules to express BDI-based reasoning. This article also studies and designs the agent communication mechanism in MAS. Finally, the intelligent information retrieval system is designed and implemented with the idea of AOP.

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