Blogs Search Engine Adopting RSS Syndication Using Fuzzy Logic

Blogs Search Engine Adopting RSS Syndication Using Fuzzy Logic

The rapid development of Internet increases the writers of blog sites. Sometimes these blog sites focused on solving some important problems. To find specific blogs are hard problem for the users because a lot of these blogs contain unuseful information such as online advertisements, notice and nois...

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Main Author: Mohammed, Athraa Jasim
Format: Thesis
Language:eng
eng
Published: 2012
Subjects:
QA76.76 Fuzzy System.
Online Access:https://etd.uum.edu.my/3304/1/ATHRAA_JASIM_MOHAMMED.pdf
https://etd.uum.edu.my/3304/3/ATHRAA_JASIM_MOHAMMED.pdf
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id my-uum-etd.3304
record_format uketd_dc
institution Universiti Utara Malaysia
collection UUM ETD
language eng
eng
advisor Husni, Husniza
topic QA76.76 Fuzzy System.
spellingShingle QA76.76 Fuzzy System.
Mohammed, Athraa Jasim
Blogs Search Engine Adopting RSS Syndication Using Fuzzy Logic
description The rapid development of Internet increases the writers of blog sites. Sometimes these blog sites focused on solving some important problems. To find specific blogs are hard problem for the users because a lot of these blogs contain unuseful information such as online advertisements, notice and noise which minimize the rank of blog site. Furthermore to retrieve more relevant blogs is another problem which lowering the search performance. This study proposes blogs search engine adopting RSS syndication using Fuzzy logic. The blogs search engine consists of three main phases which are crawling using RSS feeds algorithm, indexing weblogs algorithm and searching technique with Fuzzy logic. In RSS crawling process RSS feeds need to be gathered to extract useful information such as title, links, publish time and description. Indexing weblogs use the links to retrieve the blogs sites for text processing and construct indexing database. In order to retrieve such information needed by any user, there is user interface to search for keyword with importance degree and compute the density of keyword from the indexing database. The rank of the pages is computed based on fuzzy weighted average value. A prototype is built using visual basic 2008 to validate the proposed blogs search engine. It is a windows application with http connection protocol. In system evaluation used two measurement performances which are precision and mean average precision. The parameters of precision determine based on respondents whom determine the total retrieved links and the total relevant links for the keyword search result. The number of keywords that used in testing system is five pairs keywords. The experimental results show that the mean average precision is 81.7% of the whole system performance. The percent of respondents is 80% who knows and uses the blogs and 20% don’t have knowledge. The execution time of the system based on respondents is 70% between 3-5 minute and 30% less than 3 minute. This percentage is good considering the rate of satisfaction for system is 80% satisfied and 20% strongly satisfied.
format Thesis
qualification_name masters
qualification_level Master's degree
author Mohammed, Athraa Jasim
author_facet Mohammed, Athraa Jasim
author_sort Mohammed, Athraa Jasim
title Blogs Search Engine Adopting RSS Syndication Using Fuzzy Logic
title_short Blogs Search Engine Adopting RSS Syndication Using Fuzzy Logic
title_full Blogs Search Engine Adopting RSS Syndication Using Fuzzy Logic
title_fullStr Blogs Search Engine Adopting RSS Syndication Using Fuzzy Logic
title_full_unstemmed Blogs Search Engine Adopting RSS Syndication Using Fuzzy Logic
title_sort blogs search engine adopting rss syndication using fuzzy logic
granting_institution Universiti Utara Malaysia
granting_department Awang Had Salleh Graduate School of Arts & Sciences
publishDate 2012
url https://etd.uum.edu.my/3304/1/ATHRAA_JASIM_MOHAMMED.pdf
https://etd.uum.edu.my/3304/3/ATHRAA_JASIM_MOHAMMED.pdf
_version_ 1747827542739386368
spelling my-uum-etd.33042016-04-27T03:57:59Z Blogs Search Engine Adopting RSS Syndication Using Fuzzy Logic 2012 Mohammed, Athraa Jasim Husni, Husniza Awang Had Salleh Graduate School of Arts & Sciences Awang Had Salleh Graduate School of Arts and Sciences QA76.76 Fuzzy System. The rapid development of Internet increases the writers of blog sites. Sometimes these blog sites focused on solving some important problems. To find specific blogs are hard problem for the users because a lot of these blogs contain unuseful information such as online advertisements, notice and noise which minimize the rank of blog site. Furthermore to retrieve more relevant blogs is another problem which lowering the search performance. This study proposes blogs search engine adopting RSS syndication using Fuzzy logic. The blogs search engine consists of three main phases which are crawling using RSS feeds algorithm, indexing weblogs algorithm and searching technique with Fuzzy logic. In RSS crawling process RSS feeds need to be gathered to extract useful information such as title, links, publish time and description. Indexing weblogs use the links to retrieve the blogs sites for text processing and construct indexing database. In order to retrieve such information needed by any user, there is user interface to search for keyword with importance degree and compute the density of keyword from the indexing database. The rank of the pages is computed based on fuzzy weighted average value. A prototype is built using visual basic 2008 to validate the proposed blogs search engine. It is a windows application with http connection protocol. In system evaluation used two measurement performances which are precision and mean average precision. The parameters of precision determine based on respondents whom determine the total retrieved links and the total relevant links for the keyword search result. The number of keywords that used in testing system is five pairs keywords. The experimental results show that the mean average precision is 81.7% of the whole system performance. The percent of respondents is 80% who knows and uses the blogs and 20% don’t have knowledge. The execution time of the system based on respondents is 70% between 3-5 minute and 30% less than 3 minute. This percentage is good considering the rate of satisfaction for system is 80% satisfied and 20% strongly satisfied. 2012 Thesis https://etd.uum.edu.my/3304/ https://etd.uum.edu.my/3304/1/ATHRAA_JASIM_MOHAMMED.pdf text eng validuser https://etd.uum.edu.my/3304/3/ATHRAA_JASIM_MOHAMMED.pdf text eng public masters masters Universiti Utara Malaysia Bouras,C., Poulopoulos,V., & Silintziris,P. (2009). Personalized news search in www: adapting on user’s behaviour, fourth international conference on internet and web applications and services, 125-130, doi: 10.1109/ICIW. 2009.25. Bracewell,D., Gustafson,S., Moitra,A., & Steuben,G. (2010). 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