The aim of semantic annotation is to bridge the large gap between structured knowledge and the large volumes of unstructured text data that companies and people need to deal with daily. Alas, the process is very labourious and error-prone, even when performed semi-or fully automatically. Although widely researched, the two key steps in this process - semantic annotation and ontology population - still hold outstanding challenges. While there are numerous tools in existence, many lack compliance with recent standards, but more importantly, lack the exibility to customise the annotation workflow. In this paper, we present the Content Augmentation Manager Framework, which bridges the gap between information extraction tools and semantic repositories by allowing easy plugin of various types of components. It is also capable of controlling the process of semantic annotation and ontology population by means of consolidation algorithms.