Abstract
We propose a method of acquiring factual knowledge using the Knowledge Base Acquisition Environment (KBAE) of CRL (Computing Research Laboratory). We observed that a Fact Database that is generated by instantiating ontological concepts takes advantage of the full expressive power of ontological structures for use in NLP systems, including machine translation, information retrieval and question-answering systems. We argue that both the construction of the Fact Database and the quality of applications that use it can be enhanced by ontological inferences that are available from the connected resources.
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© 2000 Springer-Verlag Berlin Heidelberg
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Shin, H., Koehler, S. (2000). Acquiring Factual Knowledge through Ontological Instantiation. In: Mizoguchi, R., Slaney, J. (eds) PRICAI 2000 Topics in Artificial Intelligence. PRICAI 2000. Lecture Notes in Computer Science(), vol 1886. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44533-1_117
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DOI: https://doi.org/10.1007/3-540-44533-1_117
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-67925-7
Online ISBN: 978-3-540-44533-3
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