scholarly journals Latent Semantic Indexing based Intelligent Information Retrieval System for Digital Libraries

2006 ◽  
Vol 14 (3) ◽  
pp. 191 ◽  
Author(s):  
AswaniKumar Ch ◽  
Ankush Gupta ◽  
Shagun Trehan ◽  
Mahmooda Batool
Keyword(s):  
Information Retrieval ◽  
Digital Libraries ◽  
Retrieval System ◽  
Latent Semantic Indexing ◽  
Information Retrieval System ◽  
Semantic Indexing ◽  
Intelligent Information Retrieval ◽  
Intelligent Information

Data Mining Based Intelligent Retrieval Algorithm and its Application

2015 ◽  
Vol 742 ◽  
pp. 340-343
Author(s):  
Chun Ping Wang
Keyword(s):  
Information Retrieval ◽  
Digital Libraries ◽  
Retrieval System ◽  
Data Retrieval ◽  
Retrieval Algorithm ◽  
Accurate Information ◽  
Intelligent Information Retrieval ◽  
Intelligent Information ◽  
Mining Algorithms ◽  
Potential Use

Mathematical model of information retrieval algorithm retrieves digital libraries involved, it is very important to design an algorithm to make the best of the books, in order to extract the required information, including the association rules and classification method for from the database predicting the reader and potential use of fast and accurate information. In this paper, the intelligent data retrieval books mining algorithms to analyze, you can study the books of intelligent retrieval application, until the actual retrieval algorithm to solve the model first developed to meet the requirements, design a library of books intelligent information retrieval system .

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.

An Information Retrieval Model Based on Latent Semantic Indexing with Intelligent Preprocessing

2005 ◽  
Vol 04 (04) ◽  
pp. 279-285 ◽  
Author(s):  
Ch. AswaniKumar ◽  
Ankush Gupta ◽  
Mahmooda Batool ◽  
Shagun Trehan
Keyword(s):  
Information Retrieval ◽  
Retrieval System ◽  
Latent Semantic Indexing ◽  
Information Retrieval System ◽  
Semantic Indexing ◽  
Human Intervention ◽  
Retrieval Model ◽  
User Query ◽  
Removal Processes ◽  
Current Area

The primary goal of an information retrieval system is to retrieve all the documents that are relevant to the user query. Disparities between the vocabulary of the system's authors and that of their users pose difficulties when information is processed without human intervention. Preprocessing the documents and user queries using intelligence techniques to remove the ambiguities in representation and indexing is the current area of research. In this paper, we present a novel intelligent method that has been appended to existing stemming and stopword removal processes. We designed an information retrieval system based on the proposed method using latent semantic indexing. The experimental results of the system using the proposed method exhibits the superiority over other systems based on traditional preprocessing methods.

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