Infrastructure for dynamic knowledge integration--automated biomedical ontology extension using textual resources.
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.
Novácek
Vít
V
Digital Enterprise Research Institute, National University of Ireland, Galway, IDA Business Park, Lower Dangan, Galway, Co. Galway, Ireland. vit.novacek@deri.org
Laera
Loredana
L
Handschuh
Siegfried
S
Davis
Brian
B
D035843:Biomedical Research / Q000379:methods; D003628:Database Management Systems; D006801:Humans; D033181:Information Dissemination / Q000379:methods; D016247:Information Storage and Retrieval / Q000379:methods; D020407:Internet / Q000458:organization & administration; D008492:Medical Informatics Computing; D009323:Natural Language Processing; D040442:Public Health Informatics / Q000379:methods; D018511:Systems Integration; D018875:Vocabulary, Controlled