Towards Knowledge Organization Ecosystems
Mayukh Bagchi

TL;DR
This paper redefines Knowledge Organization Systems as Ecosystems within Socio-Technical Systems, emphasizing their role in sustainable, ethical AI solutions and opening new research avenues in knowledge-based AI.
Contribution
It introduces the concept of Knowledge Organization Ecosystems, characterizes them as Socio-Technical Systems, and emphasizes their grounding in ethics for AI applications.
Findings
KOEs are pivotal for sustainable AI solutions.
KOEs can be characterized as Socio-Technical Systems.
Grounding KOEs in ethics enhances AI responsibility.
Abstract
It is needless to mention the (already established) overarching importance of knowledge organization and its tried-and-tested high-quality schemes in knowledge-based Artificial Intelligence (AI) systems. But equally, it is also hard to ignore that, increasingly, standalone KOSs are becoming functionally ineffective components for such systems, given their inability to capture the continuous facetization and drift of domains. The paper proposes a radical re-conceptualization of KOSs as a first step to solve such an inability, and, accordingly, contributes in the form of the following dimensions: (i) an explicit characterization of Knowledge Organization Ecosystems (KOEs) (possibly for the first time) and their positioning as pivotal components in realizing sustainable knowledge-based AI solutions, (ii) as a consequence of such a novel characterization, a first examination and…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsEthics and Social Impacts of AI · Digital Transformation in Industry · Blockchain Technology Applications and Security
