Infrastructure for Dynamic Knowledge Integration -- Automated Biomedical Ontology Extension Using Textual Resources

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Authors	NOVÁČEK Vít LAERA Loredana HANDSCHUH Siegfried DAVIS Brian
Year of publication	2008
Type	Article in Periodical
Magazine / Source	Journal of Biomedical Informatics
MU Faculty or unit	Faculty of Informatics
Citation
web	ScienceDirect
Field	Informatics
Keywords	dynamic ontology integration; ontology evolution; ontology alignment and negotiation; ontology learning; biomedical ontologies; knowledge acquisition; lifecycle
Description	We present a novel ontology integration technique that explicitly takes the dynam- ics and data-intensiveness of e-health and biomedicine application domains into ac- count. Changing and growing knowledge, possibly contained in unstructured natural language resources, is handled by application of cutting-edge Semantic Web tech- nologies. 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.
Related projects:	Intelligent Models, Algorithms, Methods and Tools for the Semantic Web (realization)