Difference between revisions of "Wikipedia-Based Extraction of Key Information from Resumes"
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| − | '''Wikipedia-Based Extraction of Key Information from Resumes''' - scientific work related to Wikipedia quality published in 2017, written by Mohammad Ghufran, Nacéra Bennacer and Gianluca Quercini. | + | '''Wikipedia-Based Extraction of Key Information from Resumes''' - scientific work related to [[Wikipedia quality]] published in 2017, written by [[Mohammad Ghufran]], [[Nacéra Bennacer]] and [[Gianluca Quercini]]. |
== Overview == | == Overview == | ||
There is a vast amount of information about individuals available on the Web that has potential uses in Human Resource Management (HRM) - both for recruiters and job seekers. Since people names are inherently ambiguous, finding information related to a specific person is challenging and a simple query by name will likely return web pages related to several different individuals who happen to share the same name as the target of the query. | There is a vast amount of information about individuals available on the Web that has potential uses in Human Resource Management (HRM) - both for recruiters and job seekers. Since people names are inherently ambiguous, finding information related to a specific person is challenging and a simple query by name will likely return web pages related to several different individuals who happen to share the same name as the target of the query. | ||
Revision as of 08:56, 2 May 2020
Wikipedia-Based Extraction of Key Information from Resumes - scientific work related to Wikipedia quality published in 2017, written by Mohammad Ghufran, Nacéra Bennacer and Gianluca Quercini.
Overview
There is a vast amount of information about individuals available on the Web that has potential uses in Human Resource Management (HRM) - both for recruiters and job seekers. Since people names are inherently ambiguous, finding information related to a specific person is challenging and a simple query by name will likely return web pages related to several different individuals who happen to share the same name as the target of the query.
