Automatic web page classification plays an essential role in information retrieval, web mining and web semantics applications. Web pages have special characteristics (such as HTML tags, hyperlinks, etc....) that make their classification different from standard text categorization. Thus, when applied to web data, traditional text classifiers do not usually produce promising results. In this pap...

purpose: this paper aims to evaluate the performance of two public search ensiges, including yahoo and google in terms of their indexing coverage and the effectiveness of metadata elements on web page ranking. method: the effectiveness of the five metadata elements including html title tag, html keywords and description meta-tags, title and subject metadata elements from dublin core, which focu...

The reliable optical character recognition is not available for scripts of Indian languages. Thus, the only way to make legacy documents in Indian languages available on the web is by scanning them. This work is an attempt to cater to the need for a better representation and efficient storage technique for Indian language documents and their near perfect regeneration at the browser. We work wit...

introduction: the current research seeks to evaluate the framework of the mentioned endeavors through the survey of the quality of the web pages of iran's medical universities and the existence of their organizational metalinks. methods: in this descriptive study, 40 web pages of the iran's medical universities were studied. the existence of the web pages, the type of the library soft wares, th...

Extracting and processing information from web pages is an important task in many areas like constructing search engines, information retrieval, and data mining from the Web. Common approach in the extraction process is to represent a page as a “bag of words” and then to perform an additional processing on such a flat representation. In this paper we propose a new, hierarchical representation t...