RelaxImage: A Cross-Media Meta-Search Engine for Searching Images from Web Based on Query Relaxation

Author(s):  
A. Kuwabara ◽  
K. Tanaka
Author(s):  
A. Salman Ayaz ◽  
Jaya A Venkat ◽  
Zameer Gulzar

The information available online is mostly present in an unstructured form and search engines are indispensable tools especially in higher education organizations for obtaining information from the Internet. Various search engines were developed to help learners to retrieve the information but unfortunately, most of the information retrieved is not relevant. The main objective of this research is to provide relevant document links to the learners using a three-layered meta-search architecture. The first layer retrieves information links from the web based on the learner query, which is then fed to the second layer where filtering and clustering of document links are done based on semantics. The third layer, with the help of a reasoner, categorizes information into relevant and irrelevant information links in the repository. The experimental study was conducted on a training data set using web queries related to the domain of sports, entertainment, and academics. The results indicate that the proposed meta-search engine performs well as compared to another stand-alone search engine with better recall.


2010 ◽  
Vol 11 (11) ◽  
pp. 903-910 ◽  
Author(s):  
Ya-li Cao ◽  
Tie-jun Huang ◽  
Yong-hong Tian

2008 ◽  
Author(s):  
Manuel Palomo-Duarte ◽  
Antonio García-Domínguez ◽  
Inmaculada Medina-Bulo

Author(s):  
Marat Kanteev ◽  
Igor Minakov ◽  
George Rzevski ◽  
Petr Skobelev ◽  
Simon Volman

Author(s):  
Artur Gajek ◽  
Stefan Klink ◽  
Patrick Reuther ◽  
Bernd Walter ◽  
Alexander Weber

Author(s):  
Amelec Viloria ◽  
Tito Crissien ◽  
Omar Bonerge Pineda Lezama ◽  
Luciana Pertuz ◽  
Nataly Orellano ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document