  In this paper, we present an algorithm for automatically building expertise
evidence for finding experts within an organization by combining structured
corporate information with different content. We also describe our test data
collection and our evaluation method. Evaluation of the algorithm shows that
using organizational structure leads to a significant improvement in the
precision of finding an expert. Furthermore we evaluate the impact of using
different data sources on the quality of the results and conclude that Expert
Finding is not a "one engine fits all" solution. It requires an analysis of the
information space into which a solution will be placed and the appropriate
selection and weighting scheme of the data sources.
