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

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NOVÁČEK Vít LAERA Loredana HANDSCHUH Siegfried DAVIS Brian

Rok publikování 2008
Druh Článek v odborném periodiku
Časopis / Zdroj Journal of Biomedical Informatics
Fakulta / Pracoviště MU

Fakulta informatiky

Citace
www ScienceDirect
Obor Informatika
Klíčová slova dynamic ontology integration; ontology evolution; ontology alignment and negotiation; ontology learning; biomedical ontologies; knowledge acquisition; lifecycle
Popis 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.
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