NOVÁČEK, Vít, Loredana LAERA, Siegfried HANDSCHUH and Brian DAVIS. Infrastructure for Dynamic Knowledge Integration -- Automated Biomedical Ontology Extension Using Textual Resources. Journal of Biomedical Informatics. Amsterdam: Elsevier, 2008, vol. 41, No 5, p. 816-828, 12 pp. ISSN 1532-0464. |
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@article{772823, author = {Nováček, Vít and Laera, Loredana and Handschuh, Siegfried and Davis, Brian}, article_location = {Amsterdam}, article_number = {5}, keywords = {dynamic ontology integration; ontology evolution; ontology alignment and negotiation; ontology learning; biomedical ontologies; knowledge acquisition; lifecycle}, language = {eng}, issn = {1532-0464}, journal = {Journal of Biomedical Informatics}, title = {Infrastructure for Dynamic Knowledge Integration -- Automated Biomedical Ontology Extension Using Textual Resources}, url = {http://dx.doi.org/10.1016/j.jbi.2008.06.003}, volume = {41}, year = {2008} }
TY - JOUR ID - 772823 AU - Nováček, Vít - Laera, Loredana - Handschuh, Siegfried - Davis, Brian PY - 2008 TI - Infrastructure for Dynamic Knowledge Integration -- Automated Biomedical Ontology Extension Using Textual Resources JF - Journal of Biomedical Informatics VL - 41 IS - 5 SP - 816-828 EP - 816-828 PB - Elsevier SN - 15320464 KW - dynamic ontology integration KW - ontology evolution KW - ontology alignment and negotiation KW - ontology learning KW - biomedical ontologies KW - knowledge acquisition KW - lifecycle UR - http://dx.doi.org/10.1016/j.jbi.2008.06.003 N2 - 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. ER -
NOVÁČEK, Vít, Loredana LAERA, Siegfried HANDSCHUH and Brian DAVIS. Infrastructure for Dynamic Knowledge Integration -- Automated Biomedical Ontology Extension Using Textual Resources. \textit{Journal of Biomedical Informatics}. Amsterdam: Elsevier, 2008, vol.~41, No~5, p.~816-828, 12 pp. ISSN~1532-0464.
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