Abstract
Approaches to the automatic construction of parts of the knowledge base in a system for image understanding are the topic of this chapter. Again the treatment is devoted to knowledge acquisition or learning in a semantic network, but not to knowledge acquisition in general, although some of the techniques introduced in the following are of general applicability. The main emphasis is on the acquisition of declarative knowledge, and some remarks are made on the acquisition of procedural knowledge. Often the term knowledge acquisition also refers to the interaction between a knowledge engineer and a domain expert in order to elicit the knowledge relevant for solving a particular problem. This important aspect is excluded here due to space limitations.
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© 1997 Springer Science+Business Media New York
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Sagerer, G., Niemann, H. (1997). Acquisition of Knowledge. In: Semantic Networks for Understanding Scenes. Advances in Computer Vision and Machine Intelligence. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-1913-7_7
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DOI: https://doi.org/10.1007/978-1-4899-1913-7_7
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4899-1915-1
Online ISBN: 978-1-4899-1913-7
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