KOS in AI and AI in KOS

Dear Colleagues,

Knowledge Organization Systems/Services/Structures (KOS) such as glossaries, classification systems, thesauri and ontologies model the underlying semantic structure of a domain. Embodied as Web-based services, they can facilitate resource discovery and retrieval. They act as semantic road maps and make possible a common orientation by indexers and future users (whether human or machine).  Artificial intelligence (AI) is broadly defined as the use of automation to solve problems by reasoning autonomously. Today, the popular AI method is large language models (LLMs). But there are many other automation methods such as rules-based, machine learning, vectors, n-grams, clustering, filtering, NLP (natural language processing), NLG (natural language generation), etc. that can make automation intelligent. While there is a tendency to focus on one primary method, most AI applications use several methods. In this special issue of KO: Knowledge Organization (ISSN 0943-7444) we are particularly interested in how knowledge organization systems (KOS) are being used or can be used to make automation intelligent. For example, one problem with LLMs is “hallucinations” where the application generates a response to a prompt that is “correct” but not true. How can KOS be integrated with LLMs to guide their responses so that they do not produce “hallucinations”? Potential topics include, but are not limited to:

• KOS use to make automation intelligent in different disciplines such as medicine, cultural heritage, environment, sustainability, etc.
• Applications of machine learning, natural language processing, language models, and related technologies to knowledge organization including both the use of KOS in AI and the use of AI for KOS.

We invite authors to submit a paper for consideration for this special issue. Please submit full papers through https://imr.propub.com/. Select the Section for the Special Issue: “KOS in AI and AI in KOS”. Author guidelines must be strictly followed: https://www.imrpress.com/journal/KO/instructions. Contact the guest editors Joseph Busch (jbusch@taxonomystrategies.com) and Marcia Zeng (mzeng@kent.edu) about whether a submission is within the scope of the special issue.

Prof. Joseph Busch and Prof. Marcia Zeng
Guest Editors

Manuscripts should be submitted via our online editorial system at https://imr.propub.com by registering and logging in to this website. Once you are registered, click here to start your submission. Manuscripts can be submitted now or up until the deadline. All papers will go through peer-review process. Accepted papers will be published in the journal (as soon as accepted) and meanwhile listed together on the special issue website. Research articles and reviews are preferred. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office to announce on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts will be thoroughly refereed through a double-blind peer-review process. Please visit the Instruction for Authors page before submitting a manuscript. The Article Processing Charge (APC) in this open-access journal is 1800 USD. Submitted manuscripts should be well formatted in good English.