Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Effective knowledge management is a key factor in the development and success of any organisation. Many different methods have been devised to address this need. Applying these methods to identify the experts within an organisation has attracted a lot of attention.  look at one such problem that arises within universities on a daily basis but has attracted little attention in the literature, namely the problem of a searcher who is trying to identify a potential PhD supervisor, or, from the perspective of the university's research office, to allocate a PhD application to a suitable supervisor.  reduce this problem to identifying a ranked list of experts for a given query (representing a research area).#R##N##R##N# report on experiments to find experts in a university domain using two different methods to extract a ranked list of candidates: a database-driven method and a data-driven method. The first one is based on a fixed list of experts (e.g. all members of academic staff) while the second method is based on automatic Named-Entity Recognition (NER).  use a graded ighting based on proximity beten query and candidate name to rank the list of candidates. As a baseline,  use a system that ranks candidates simply based on frequency of occurrence within the top documents.
['Fawaz Alarfaj', 'Udo Kruschwitz', 'David K. Hunter', 'Chris Fox']
I am writing a research paper on a idea Finding the Right Supervisor: Expert-Finding in a University Domain
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