Abstract
This paper provides a general framework for the extraction and adaptation of ontological knowledge from new structured information. The cycle of this process is described starting with the extraction of semantic knowledge from syntactically given information, the transformation of this information into an appropriate format of description logic, and the dynamic update of a given ontology with this new information where certain types of potentially occurring inconsistencies are automatically resolved. The framework uses crucially certain tools for this incremental update. In addition to WordNet, the usage of FrameNet plays an important role, in order to provide a consistent basis for reasoning applications. The cycle of rewriting textual definitions into description logic axioms is prototypically implemented as well as the resolution of certain types of inconsistencies in the dynamic update of ontologies.
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Wandmacher, T., Ovchinnikova, E., Mönnich, U., Michaelis, J., Kühnberger, KU. (2011). Adaptation of Ontological Knowledge from Structured Textual Data. In: Mehler, A., Kühnberger, KU., Lobin, H., Lüngen, H., Storrer, A., Witt, A. (eds) Modeling, Learning, and Processing of Text Technological Data Structures. Studies in Computational Intelligence, vol 370. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22613-7_8
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DOI: https://doi.org/10.1007/978-3-642-22613-7_8
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