Extraction of useable information from unstructured resume based on keywords to match resumes and job profiles

In the current internet era use of internet in different fields restricts no bounds. Companies and organisation are moving from the traditional recruitment process to E-recruitment. Job seekers or applicants submit their Curriculum Vitae (CV) directly send them to the company's website. At such time company face a lot of problem with these growing number of documents which are in free and different formats. Our work is basically on CV analysis. This paper describes a system for automated resume information extraction to support rapid resume search and management. The describes system is capable of extracting several informative fields describes by HR-XML from free format resume. Experimental results carried on large number of resumes show that the proposed system can handle a precision of 91% and a recall of 88%. The proposed system will be kept in Semantic Web approach that provides companies to find expert finding in an efficient way.