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. © Springer-Verlag Berlin Heidelberg 2006.
Cite
CITATION STYLE
Ciravegna, F. (2006). Acquiring and sharing knowledge in large organizations: Issues, requirements and methodologies. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4183 LNCS, p. 2). Springer Verlag. https://doi.org/10.1007/11861461_2
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