scholarly journals Fuzzy Logic System for Retrieval of Information in Electronic Libraries

2019 ◽  
Vol 13 (11) ◽  
pp. 76
Author(s):  
Ali Mohammad H. Al-Ibrahim

This research represents one of the steps aimed to address one of the most important challenges on the Web and digital libraries, which is compute  the rank of the document’s, and its importance, and their relevance to the user and to meet their needs for information, and so by taking advantage of the vast potential of logic Fuzzy in dealing with this kind of problems, and provide high flexibility for the user to clarify the issues and areas that interested them. This research is concernd on the design and implementation of a proposal for the information retrieval system, called Fuzzy Information Retrieval System(FZIRS). This system is designed to deal with a huge distributed database on a group of computers (servers) associated with the Intranet network specially designed to work the system, which includes different types and sizes of text files. The proposed system has the ability for mining of data mining from the database and retrieve useful information from them and that meet the user's needs well. This accomlished  through the applying of the proposed algorithms for indexing operations and calculate the rank of documents and generate keywords operations and display the  retrival results, which showed high quality when calculating results compared with other Information retrieving algorithms.

Author(s):  
Roberto Willrich ◽  
Rafael de Moura Speroni ◽  
Christopher Viana Lima ◽  
André Luiz de Oliveira Diaz ◽  
Sérgio Murilo Penedo

Author(s):  
Qiaozhu Mei ◽  
Dragomir Radev

This chapter is a basic introduction to text information retrieval. Information Retrieval (IR) refers to the activities of obtaining information resources (usually in the form of textual documents) from a much larger collection, which are relevant to an information need of the user (usually expressed as a query). Practical instances of an IR system include digital libraries and Web search engines. This chapter presents the typical architecture of an IR system, an overview of the methods corresponding to the design and the implementation of each major component of an information retrieval system, a discussion of evaluation methods for an IR system, and finally a summary of recent developments and research trends in the field of information retrieval.


Author(s):  
Mounira Chkiwa ◽  
Anis Jedidi ◽  
Faiez Gargouri

In this paper, the authors present an overall description of their information retrieval system which makes a practical collaboration between Semantic Web and Fuzzy logic in order to have profit from their advantages in the information retrieval domain. Their system is dedicated for kids, for this reason the semantic/fuzzy collaboration materialized must be in the background of the information retrieval process because such category of users cannot certainly control semantic web technologies neither fuzzy logic commands. In this paper, the authors present the different services proposed by their system and how they use Semantic Web and Fuzzy logic to develop it. Evaluation tests of the system using universal measures show clearly its efficiency.


1974 ◽  
Vol 22 (4) ◽  
pp. 251-257
Author(s):  
William S. Lane

Techniques and procedures were developed for cataloging, indexing, and storing information concerning diverse music education materials in a computer-assisted information retrieval system. Indexing procedures and bibliographic file formats were developed, and a data base of 830 documents was created. One subject area was indexed for content and a thesaurus of descriptors developed for it. The subfile so indexed consisted of 107 documents. Searches were made of the data base, with completely accurate results demonstrating that many different types of music education materials can be efficiently manipulated in a computer-assisted information retrieval system.


Author(s):  
Mounira Chkiwa ◽  
Anis Jedidi ◽  
Faiez Gargouri

In this paper, the authors present an overall description of their information retrieval system which makes a practical collaboration between Semantic Web and Fuzzy logic in order to have profit from their advantages in the information retrieval domain. Their system is dedicated for kids, for this reason the semantic/fuzzy collaboration materialized must be in the background of the information retrieval process because such category of users cannot certainly control semantic web technologies neither fuzzy logic commands. In this paper, the authors present the different services proposed by their system and how they use Semantic Web and Fuzzy logic to develop it. Evaluation tests of the system using universal measures show clearly its efficiency.


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