Search engine architecture and application
2018
0 views
0 downloads
Advisor: Yrd. Doç. Dr. Sait Ali Uymaz
Abstract (EN)
Search engines are a technology that provides the information that people who want to create a bridge between people and data on the internet. In other words, it is a system where search engines save web sites on the web through bots, then index these pages and get meaningful data according to the queries sent by people and show the web pages containing the information they want. Users often do not know the working mechanisms of search engines. In this thesis, firstly the working architecture of the Crawler programs, which are the bot software used by the search engines, is explained and a detailed description is made by a parallel Web Crawler application. Then the indexing architecture of the search engines is described and a parallel indexing application is developed. Later, a search application was developed that describes how search engines have been searched in the indexing infrastructure and has a web interface.
Author
Dr. Mehmet Karlık
How to Cite
Mehmet Karlık (Master Thesis). Search engine architecture and application, 2018, Konya Technical University.
License
Tüm Hakları Saklıdır
This work is shared under the specified license terms.
More theses from Konya Technical University
- Numerical and experimental in vestigation of optimization of Pelton turbine rotor design parameters in micro turbine size(2018)
- Comparison of some manufacturing costs according to various analysis parameters and other regulations of reinforced concrete structures with different floor systems(2018)
- The use of silica fume in self-compacting concretes affects the concrete compressive strength and adherence(2018)
- Load-bearing carrier system properties in the historical buildings repair and strengthening techniques for damages model analysis of Zenburi masjid(2018)
- Lateral rigidity improvement of deficient reinforced concrete structures with the use of user friendly systems(2018)
- Application of artificial intelligence methods to estimate monthly pan evaporation using meteorological data(2018)
