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

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
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