scholarly journals Pengembangan Sistem Pencarian Karya Akhir Berdasarkan Abstrak Menggunakan Full-Text Searching Di Sistem Informasi Perpustakaan Jurusan Teknik Elektro Universitas Negeri Jakarta

2019 ◽  
Vol 1 (2) ◽  
pp. 85-95
Author(s):  
Erna Selviyanti ◽  
Hamidillah Ajie ◽  
Widodo
Keyword(s):  
Information Systems ◽  
Full Text ◽  
Electrical Engineering ◽  
State University ◽  
Text Search ◽  
Search System ◽  
Full Text Search ◽  
Engineering State ◽  
Text Searching ◽  
Undergraduate Thesis

The research was conducted to develop a search system undergraduated thesis based on abstract using full-text searching in Library Information Systems Department of Electrical Engineering State University of Jakarta. The feature fulltext search system is developed to facilitate students in finding undergraduate thesis based on abstract. By using the select clause MATCH () ... Against, the data can be searched ordered by relevancy value. The research was conducted in the laboratory of multimedia Department of Electrical Engineering Faculty of Engineering, State University of Jakarta from September 2012 to December 2012. Development cycle of full-text search system conceptually consists of the design and analysis of systems, retrieval system development, integration of full-text search system to test SIPEL SIPEL 2013 and 2013. Full-text search system stores abstract 229 thesis abstract (undergraduate thesis, comprehensive, and TA) using XAMPP web server applications. Library Information Systems Department of Electrical Engineering State University of Jakarta (SIPEL 2013) has successfully integrated the SIPEL 2012 by adding databases and full-text search feature. The research use scripting language PHP and the MySQL database and worked on the Linux operating system by using a text editor Bluefish Editor and XAMPP as localhost server.

SQLite Sebagai Pengganti Lucene.Net pada Pencarian Produk Toko Online

2020 ◽  
Vol 1 (2) ◽  
pp. 36-43
Author(s):  
Imam Farisi ◽  
Mukhaimy Gazali ◽  
Rudy Anshari
Keyword(s):  
Full Text ◽  
Search Process ◽  
Text Search ◽  
Search System ◽  
Full Text Search ◽  
Database Table ◽  
Search Speed ◽  
Product Search ◽  
Online Stores ◽  
Two Alternatives

A business institution can promote their products in its online shop. With the promotion of online stores, consumers can find out which products are sold at the store. Consumers who are looking for a product can search based on various attributes of goods that are scattered in various fields in the database table, and can even be spread across different tables. All attributes that point to an item are collected in one document which will be searched using the Full Text Search system. Two alternatives to the Full Text Search system were selected; Lucene.Net and Sqlite Full Text Search. Before actually being used, these two search system alternatives were tested first. In document storage size, Lucene.Net is superior by 6.78 times. The speed of writing Sqlite search documents is superior by between 1,875 times to 5,197 times. In terms of key search speed, Lucene.Net was superior by between 1,169 and 1,698 times. Based on the consideration of the speed and development of Lucene.Net Core which is still in beta stage, Sqlite Full Text Search is suitable for use in the product search process in the Online Store.

SMART SEARCH IN THE DATABASE OF PHYSIC-TECHNICAL INFORMATION

2020 ◽  
pp. 28-32
Author(s):  
Dmitry Mikhailovich Korobkin ◽  
Stanislav Alekseevich Avdosev ◽  
Sergei Alekseevich Fomenkov ◽  
Sergei Grigorievich Kolesnikov
Keyword(s):  
Full Text ◽  
Technical Information ◽  
Text Search ◽  
Search System ◽  
Full Text Search ◽  
Search Queries ◽  
Intelligent Search ◽  
Physical Effects

The article describes the process of developing an automated intelligent search system based on physical effects. The developed system performs descriptor, full-text search, logging of search queries, displaying physical effects and other functions.

A Fast Dynamic Full-Text Search Method Using Efficient Block Management Structure

2004 ◽  
Vol 8 (6) ◽  
pp. 573-581
Author(s):  
Masao Fuketa ◽  
◽  
El-Sayed Atlam ◽  
Elmarhomy Ghada ◽  
Jun-ichi Aoe
Keyword(s):  
Full Text ◽  
High Speed ◽  
Text Search ◽  
Search System ◽  
Full Text Search ◽  
Management Structure ◽  
Inverted File ◽  
Management Algorithm ◽  
Management Method ◽  
Fast Dynamic

Full-text search is widely used for various services of the Internet. A more high-speed and a more efficient full-text search technology are necessary because of the amount of increasing handled document and corresponding document data every day. This paper proposes an adaptive block management algorithm that is efficient for dynamic data management method. This algorithm is applied for inverted file searching. The new method is speeding up character string retrieval by first making the full-text search of Uni-gram and by the full-text search of Bi-gram. This paper proposes a method of enhancing the static full-text search system of Bi-gram to the dynamic full-text search system of Bi-gram. Moreover, this paper presents an efficient achievement method of the dynamic full-text search system of Bi-gram using effectiveness of the adaptive block management structure.

Enhancing HDFS with a full-text search system for massive small files

2021 ◽  
Author(s):  
Wentao Xu ◽  
Xin Zhao ◽  
Bin Lao ◽  
Ge Nong
Keyword(s):  
Full Text ◽  
Text Search ◽  
Search System ◽  
Full Text Search

scholarly journals Entropy-Based Incremental Indexing Term Selection Method for N-gram Full Text Search System

2005 ◽  
Vol 125 (5) ◽  
pp. 730-731 ◽  
Author(s):  
Hiroshi Yamamoto ◽  
Ryosuke Saga ◽  
Satoru Moriyama ◽  
Hiroshi Tsuji
Keyword(s):  
Full Text ◽  
Selection Method ◽  
Text Search ◽  
Search System ◽  
Full Text Search ◽  
Term Selection ◽  
N Gram ◽  
Indexing Term
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