Abstract. The dynamic nature of web data brings forward the need for main-taining data versions as well as identifying semantically rich changes between them. In this paper, we advocate the need for supporting complex changes in evolving RDF(S) knowledge bases. We outline the basic challenges and provide solution insights through a real-world example from the field of biology.