Abstract
Efficient and effective Knowledge Acquisition and Sharing are of vital importance for large organizations. Complex human and technical aspects make them a complex issue. In this talk I will describe and discuss requirements, tools and methodologies for Knowledge Acquisition and Sharing in large organizations. I will use examples from the aerospace and automotive domain to describe and discuss real world requirements, including those related to human factors and technical issues. Then I will describe techniques from the field of Human Language Technologies and the Semantic Web that can be used for addressing those requirements. I will then present examples of real world applications developed in the aerospace domain. Finally, I will discuss some future trends.
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© 2006 Springer-Verlag Berlin Heidelberg
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Ciravegna, F. (2006). Acquiring and Sharing Knowledge in Large Organizations: Issues, Requirements and Methodologies. In: Euzenat, J., Domingue, J. (eds) Artificial Intelligence: Methodology, Systems, and Applications. AIMSA 2006. Lecture Notes in Computer Science(), vol 4183. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11861461_2
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DOI: https://doi.org/10.1007/11861461_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-40930-4
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