  Several approaches to the problem of expert finding have emerged in computer
science research. In this work, three of these approaches - content analysis,
social graph analysis and the use of Semantic Web technologies are examined. An
integrated set of system requirements is then developed that uses all three
approaches in one hybrid approach.
  To show the practicality of this hybrid approach, a usable prototype expert
finding system called ExpertQuest is developed using a modern functional
programming language (Clojure) to query social media data and Linked Data. This
system is evaluated and discussed. Finally, a discussion and conclusions are
presented which describe the benefits and shortcomings of the hybrid approach
and the technologies used in this work.
