  The triple-based knowledge in large-scale knowledge bases is most likely
lacking in structural logic and problematic of conducting knowledge hierarchy.
In this paper, we introduce the concept of metaknowledge to knowledge
engineering research for the purpose of structural knowledge construction.
Therefore, the Metaknowledge Extraction Framework and Document Structure Tree
model are presented to extract and organize metaknowledge elements (titles,
authors, abstracts, sections, paragraphs, etc.), so that it is feasible to
extract the structural knowledge from multi-modal documents. Experiment results
have proved the effectiveness of metaknowledge elements extraction by our
framework. Meanwhile, detailed examples are given to demonstrate what exactly
metaknowledge is and how to generate it. At the end of this paper, we propose
and analyze the task flow of metaknowledge applications and the associations
between knowledge and metaknowledge.
