Abstract
Knowledge acquisition processes (KAPs) could be simplified by means of extracting knowledge directly from natural language texts. This would simplify the KAP as knowledge engineers would become redundant in this process and knowledge could be acquired straight from experts. The approach presented here uses techniques from both knowledge acquisition and natural language recognition research areas. The KAP described is represented by means of ontologies and has been applied to the leukaemia domain.
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© 2001 Springer-Verlag Berlin Heidelberg
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Fernández-Breis, J.T., Valencia-García, R., Martínez-Béjar, R., Cantos-Gómez, P. (2001). A Context-Driven Approach for Knowledge Acquisition: Application to a Leukaemia Domain. In: Akman, V., Bouquet, P., Thomason, R., Young, R. (eds) Modeling and Using Context. CONTEXT 2001. Lecture Notes in Computer Science(), vol 2116. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44607-9_40
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DOI: https://doi.org/10.1007/3-540-44607-9_40
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