Design and Implementation of In-Memory Database System for Efficient Information Retrieval

2020 ◽  
Author(s):  
Aishwarya Jadhav ◽  
Diana Dsouza ◽  
Tooba Khan ◽  
Phiroj Shaikh
1990 ◽  
Vol 5 (4) ◽  
pp. 363-373
Author(s):  
Zhiquan Jin ◽  
Chengfei Liu ◽  
Zhongxiu Sun ◽  
Xiaofang Zhou ◽  
Peipei Chen ◽  
...  

Author(s):  
Eduard Sukiasyan

The term of “thesaurofest” is scrutinized; the characteristics of the system, the technologies of efficient information retrieval are analyzed. Prospects for retrieval systems modernization are discussed.


Author(s):  
Obiniyi Ayodele Afolayan ◽  
Ezugwu El-Shamir Absalom

This paper identifies the causes associated with delays in processing and releasing results in tertiary institutions. An enhanced computer program for result computation integrated with a database for storage of processed results simplifies a university grading system and overcomes the short-comings of existing packages. The system takes interdepartmental collaboration and alliances into consideration, over a network that speeds up collection of processed results from designated departments through an improved centralized database system. An empirical evaluation of the system shows that it expedites processing of results and transcripts at various levels and management of and access to student results on-line. The technological approach for the implementation of the proposed system is based on open source solutions. Apache is used as Web server extended with PHP for server side processing. In recognition of the confidentiality of data contained in the system, communication networks are protected with open-ssl library for data encryption and role-based authentication. This system increases efficient service delivery and benefits both administration and students.


Author(s):  
Amit Singh ◽  
Aditi Sharan

This article describes how semantic web data sources follow linked data principles to facilitate efficient information retrieval and knowledge sharing. These data sources may provide complementary, overlapping or contradicting information. In order to integrate these data sources, the authors perform entity linking. Entity linking is an important task of identifying and linking entities across data sources that refer to the same real-world entities. In this work, they have proposed a genetic fuzzy approach to learn linkage rules for entity linking. This method is domain independent, automatic and scalable. Their approach uses fuzzy logic to adapt mutation and crossover rates of genetic programming to ensure guided convergence. The authors' experimental evaluation demonstrates that our approach is competitive and make significant improvements over state of the art methods.


2009 ◽  
pp. 725-754
Author(s):  
J. Gerard Wolff

This chapter describes some of the kinds of “intelligence” that may be exhibited by an intelligent database system based on the SP theory of computing and cognition. The chapter complements an earlier paper on the SP theory as the basis for an intelligent database system (Wolff, forthcoming b) but it does not depend on a reading of that earlier paper. The chapter introduces the SP theory and its main attractions as the basis for an intelligent database system: that it uses a simple but versatile format for diverse kinds of knowledge, that it integrates and simplifies a range of AI functions, and that it supports established database models when that is required. Then with examples and discussion, the chapter illustrates aspects of “intelligence” in the system: pattern recognition and information retrieval, several forms of probabilistic reasoning, the analysis and production of natural language, and the unsupervised learning of new knowledge.


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