Knowledge Organization (KO) and Knowledge Representation (KR) have been the
two mainstream methodologies of knowledge modelling in the Information Science
community and the Artificial Intelligence community, respectively. The
facet-analytical tradition of KO has developed an exhaustive set of guiding
canons for ensuring quality in organising and managing knowledge but has
remained limited in terms of technology-driven activities to expand its scope
and services beyond the bibliographic universe of knowledge. KR, on the other
hand, boasts of a robust ecosystem of technologies and technology-driven
service design which can be tailored to model any entity or scale to any
service in the entire universe of knowledge. This paper elucidates both the
facet-analytical KO and KR methodologies in detail and provides a functional
mapping between them. Out of the mapping, the paper proposes an integrated
KR-enriched KO methodology with all the standard components of a KO methodology
plus the advanced technologies provided by the KR approach. The practical
benefits of the methodological integration has been exemplified through the
flagship application of the Digital University at the University of Trento,
Italy.

该研究论文详细阐述了知识组织和知识表示两种主流方法论，并提出了一种整合了知识表示的知识组织方法论，通过意大利特伦托大学数字化大学的应用加以实证，展示了方法论整合的实际效益。