Due to the large volume of documents that retain valuable and implicit employees' knowledge about business activities, it becomes imperative for organizations to have means to extract and organize that knowledge in order to support knowledge management initiatives. This paper presents a strategy based on the recognition and co-relation extraction of named entities from textual documents. The extracted entities and relations are used for ontology creation and maintenance in a semi-automatic approach. A prototype is presented in order to demonstrate the applicability of the proposed strategy. A case study is described in which direct and indirect relations are extracted from academic and professional activities registered in a résumé database.