Abstract
It is a common point of view of many AI experts that the processing of commonsense knowledge is a core and the most difficult problem of AI. The level of achievements of AI depends to a great extent on the progress of research in the field of commonsense knowledge. The study on commonsense knowledge is not only theoretically significant. It has also a great practical meaning in many fields of software and computer science. In our SWAN system, the application of commonsense knowledge also plays an important role. It is to this end that we have designed and implemented a large-scale commonsense knowledge base called Pangu.
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© 2002 Springer-Verlag Berlin Heidelberg
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(2002). Knowledge Base and Libraries. In: Automatic Generation of Computer Animation. Lecture Notes in Computer Science(), vol 2160. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45590-6_10
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DOI: https://doi.org/10.1007/3-540-45590-6_10
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Publisher Name: Springer, Berlin, Heidelberg
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Online ISBN: 978-3-540-45590-5
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