Flexible web text mining process lifecycle and architecture

Text Mining is an important step of Knowledge Discovery process. It is used to extract hidden information from not-structured or semi-structured data. This aspect is fundamental because most of the Web information is semi-structured due to the nested structure of HTML code, is linked and is redundant. Web Text Mining helps whole knowledge mining process in mining, extraction and integration of useful data, information and knowledge from Web page contents. Web Text Mining process able to discover knowledge in a distributed and heterogeneous multi-organization environment. The Web Text Mining process is based on flexible architecture and is implemented by four steps able to examine web content and to extract useful hidden information through mining techniques. Our Web Text Mining prototype starts from the recovery of Web job offers in which, through a Text Mining process, useful information for fast classification of the same are drawn out, these information are, essentially, job offer place and skills.