This document discusses using linked open data to find experts who can solve problems from different domains. It presents challenges in open innovation on the semantic web, such as finding experts from various sources and related domains. Methods for expert finding before linked data are described. The document then proposes using linked data metrics based on topic distribution and proximity to select expert finding hypotheses. Finally, it describes a prototype expert finding system and the next challenge of exploring relevant knowledge domains to expand expert search.