# From Knowledge Organization to Knowledge Representation and Back

arXiv: https://arxiv.org/abs/2401.11753 · HTML: https://mlsanity.com/paper/2401.11753/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 8 of its 37 references that are in the map.
- First posted on arXiv 22 Jan 2024.

## Builds on (most cited first, 8 of 8)

- [Knowledge Graphs](https://mlsanity.com/paper/2003.02320/) (2020)
- [Towards Visual Semantics](https://mlsanity.com/paper/2104.12379/) (2021)
- [Stratified Data Integration](https://mlsanity.com/paper/2105.09432/) (2021)
- [Aligning Visual and Lexical Semantics](https://mlsanity.com/paper/2212.06629/) (2022)
- [A semantics-driven methodology for high-quality image annotation](https://mlsanity.com/paper/2307.14119/) (2023)
- [Object Recognition as Classification via Visual Properties](https://mlsanity.com/paper/2112.10531/) (2021)
- [From Knowledge Representation to Knowledge Organization and Back](https://mlsanity.com/paper/2312.07302/) (2023)
- [Towards a Gateway for Knowledge Graph Schemas Collection, Analysis, and Embedding](https://mlsanity.com/paper/2311.12465/) (2023)

## Abstract (arXiv)

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.