  Research organisations and their research outputs have been growing
considerably in the past decades. This large body of knowledge attracts various
stakeholders, e.g., for knowledge sharing, technology transfer, or potential
collaborations. However, due to the large amount of complex knowledge created,
traditional methods of manually curating catalogues are often out of time,
imprecise, and cumbersome. Finding domain experts and knowledge within any
larger organisation, scientific and also industrial, has thus become a serious
challenge. Hence, exploring an institutions domain knowledge and finding its
experts can only be solved by an automated solution. This work presents the
scheme of an automated approach for identifying scholarly experts based on
their publications and, prospectively, their teaching materials. Based on a
search engine, this approach is currently being implemented for two
universities, for which some examples are presented. The proposed system will
be helpful for finding peer researchers as well as starting points for
knowledge exploitation and technology transfer. As the system is designed in a
scalable manner, it can easily include additional institutions and hence
provide a broader coverage of research facilities in the future.
