Finding Experts in a Corporate Environment

Abstract

Finding employees with a specific level of expertise, experts, is vital for knowledge sharing and information reuse. A company benefits when its employees have access to an efficient system for expert finding, because time spent searching is time lost. Many companies, however, do not have such a system. We propose a solution that can be used to automate the manual expert finding process of a company. Our solution builds upon existing Expert Finding techniques and requires only existing documents as input. We perform a case study at the company Tam Tam in which we implement and test our solution. We show that our solution performs at least as good as the current manual approach of Tam Tam. The performance of our solution in terms of MAP is 0,420. We motivate why our solution applied to another company would perform equally well. Finally, we investigate improvements on the used technique and propose an addition that in our case study increased the performance with 33%.Information Architecture TrackSoftware TechnologyElectrical Engineering, Mathematics and Computer Scienc