BlogForever D2.6: Data Extraction Methodology

This report outlines an inquiry into the area of web data extraction, conducted within the context of blog preservation. The report reviews theoretical advances and practical developments for implementing data extraction. The inquiry is extended through an experiment that demonstrates the effectiveness and feasibility of implementing some of the suggested approaches. More specifically, the report discusses an approach based on unsupervised machine learning that employs the RSS feeds and HTML representations of blogs. It outlines the possibilities of extracting semantics available in blogs and demonstrates the benefits of exploiting available standards such as microformats and microdata. The report proceeds to propose a methodology for extracting and processing blog data to further inform the design and development of the BlogForever platform

A Literature Survey on Web Content Mining

Web is an accumulation of inter related documents on one or more web servers while web mining implies extricating important data from web databases. Web mining is one of the data mining spaces where data mining methods are utilized for extricating data from the web servers. The web information incorporates site pages, web links, questions on the web and web logs. Web mining is utilized to comprehend the client behavior, assess a specific site in view of the data which is stored in web log documents. Web mining is assessed by utilizing data mining strategies, specifically Association Rules, Classification and Clustering. It has some helpful regions or applications, for example, Electronic trade, E-learning, E-government, E-arrangements, E-majority rules system, Electronic business, security, crime examination and computerized library. Recovering the required web page from the web productively and adequately becomes a challenging task since web is comprised of unstructured information, which conveys the substantial measure of data and increment the unpredictability of managing data from various web service providers. The accumulation of data turns out to be elusive, extract, channel or assess the significant data for the clients. In this paper, we have considered the essential ideas of web mining, classification, procedures and issues. Notwithstanding this, this paper likewise broke down the web mining research challenges