Title :
Kavosh: An Intelligent Neuro-Fuzzy Search Engine
Author :
Fard, Amin Milani ; Ghaemi, R. ; Mohammad, Rahim ; Akbarzadeh, T. ; Akbari, Hassanali
Author_Institution :
Ferdowsi Univ., Mashhad
Abstract :
In this paper we propose a neuro-fuzzy architecture for Web content taxonomy using hybrid of Adaptive Resonance Theory (ART) neural networks and fuzzy logic concept. The search engine called Kavosh is equipped with unsupervised neural networks for dynamic data clustering. This model was designed for retrieving images without metadata and in estimating resemblance of multimedia documents; however, in this work only text mining method is implemented. Results show noticeable average precision and recall over search results.
Keywords :
ART neural nets; fuzzy logic; fuzzy neural nets; pattern clustering; search engines; Kavosh; Web content taxonomy; adaptive resonance theory neural networks; dynamic data clustering; fuzzy logic; image retrieval; intelligent neurofuzzy search engine; neurofuzzy architecture; unsupervised neural networks; Computer networks; Data mining; Fuzzy logic; Neural networks; Resonance; Search engines; Subspace constraints; Text mining; Web mining; Web pages;
Conference_Titel :
Intelligent Systems Design and Applications, 2007. ISDA 2007. Seventh International Conference on
Conference_Location :
Rio de Janeiro
Print_ISBN :
978-0-7695-2976-9
DOI :
10.1109/ISDA.2007.40
