We present a novel ontology integration technique that explicitly takes the dynamics and data-intensiveness of e-health and biomedicine application domains into account. Changing and growing knowledge, possibly contained in unstructured natural language resources, is handled by application of cutting-edge Semantic Web technologies. In particular, semi-automatic integration of ontology learning results into a manually developed ontology is employed. This integration bases on automatic negotiation of agreed alignments, inconsistency resolution and natural language generation methods. Their novel combination alleviates the end-user effort in the incorporation of new knowledge to large extent. This allows for efficient application in many practical use cases, as we show in the paper. © 2008 Elsevier Inc. All rights reserved.
Nováček, V., Laera, L., Handschuh, S., & Davis, B. (2008). Infrastructure for dynamic knowledge integration-Automated biomedical ontology extension using textual resources. Journal of Biomedical Informatics, 41(5), 816–828. https://doi.org/10.1016/j.jbi.2008.06.003