  Historians, and in particular researchers in prosopography, focus a lot of
effort on extracting and coding information from historical sources to build
databases. To deal with this situation, they rely in some cases on their
intuition. One important issue is to provide these researchers with the
information extracted from the sources in a sufficiently structured form to
allow the databases to be queried and to verify, and possibly, to validate
hypotheses. The research in this paper attempts to take up the challenge of
helping historians capturing and assessing information throughout automatic
processes. The issue emerges when too many sources of uncertain information are
available. Based on the high-level information fusion approach, we propose a
process that automatically supports historians' intuition in the domain of
prosopography. The contribution is threefold: a conceptual data model, a
process model, and a set of rules combining the reliability of sources and the
credibility of information.
