Nowadays, there is a large number of Knowledge Management (KM) initiatives implemented in organizations, which often fail to manage the natural heterogeneity of organizational knowledge sources. To address heterogeneity, documentation overload and lack of context we propose Onto-DOM, a question-answering ontology-based strategy implemented within a Distributed Organizational Memory. Onto-DOM is a portable question-answering system that accepts natural language queries and, using a domain ontology, transforms and contextualizes the query eliminating the inherent natural language ambiguity. At the same time, it recovers those knowledge objects that are most likely to contain the answer.