| NOVÁČEK, Vít, Loredana LAERA, Siegfried HANDSCHUH a Brian DAVIS. Infrastructure for Dynamic Knowledge Integration -- Automated Biomedical Ontology Extension Using Textual Resources. Journal of Biomedical Informatics. Amsterdam: Elsevier, 2008, roč. 41, č. 5, s. 816-828, 12 s. 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 a Brian DAVIS. Infrastructure for Dynamic Knowledge Integration -- Automated Biomedical Ontology Extension Using Textual Resources. \textit{Journal of Biomedical Informatics}. Amsterdam: Elsevier, 2008, roč.~41, č.~5, s.~816-828, 12 s. ISSN~1532-0464.
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