z-logo
open-access-imgOpen Access
Full-Text Search Engine using MySQL
Author(s) -
Cornelia Győrödi,
Robert Győrödi,
George Pecherle,
George Mihai Cornea
Publication year - 2010
Publication title -
international journal of computers communications and control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.422
H-Index - 33
eISSN - 1841-9844
pISSN - 1841-9836
DOI - 10.15837/ijccc.2010.5.2233
Subject(s) - computer science , mistake , set (abstract data type) , information retrieval , search engine , table (database) , order (exchange) , relevance (law) , spelling , word (group theory) , spamdexing , world wide web , full text search , search analytics , data mining , web search query , programming language , mathematics , law , economics , linguistics , philosophy , geometry , finance , political science
In this article we will try to explain how we can create a search engine using the powerful MySQL full-text search. The ever increasing demands of the web requires cheap and elaborate search options. One of the most important issues for a search engine is to have the capacity to order its results set as relevance and provide the user with suggestions in the case of a spelling mistake or a small result set. In order to fulfill this request we thought about using the powerful MySQL full-text search. This option is suitable for small to medium scale websites. In order to provide sound like capabilities, a second table containing a bag of words from the main table together with the corresponding metaphone is created. When a suggestion is needed, this table is interrogated for the metaphone of the searched word and the result set is computed resulting a suggestion.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom