Overview | Schedule | NKOS Home
Themes for the NKOS Workshop
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.
The NKOS Workshop is 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”?
The workshop welcomes timely presentations/demonstrations of early exploratory or speculative work, work in process, initial results, as well as more mature results selected from the perspectives of KOS in AI and AI in KOS.
Focus of the 2024 NKOS Workshop
Demonstrations related to KOS and AI:
- Demonstrations of KOS that are being used to make automation intelligent in different disciplines.
- Demonstrations related to the application 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.
- Demonstrations relevant to a specific discipline such as medicine, cultural heritage, environment, sustainability, etc.
Demonstrations may be of early exploratory or speculative work, work in process, initial results, or more mature results. Demonstrations may be a live demo of a working application or prototype in action, a pre-recorded “live” demo, or the results or evaluation of the results from the application.
Presentations & Speakers
Welcome and Introduction (ppt)
- Joseph Busch (Taxonomy Strategies, USA.)
KOS in AI & AI in KOS
- "Towards Taxonomy Management with Generative AI" (ppt)
Xia Lin & Xiyuan Chang (Drexel University, USA.)
- "The Method and Evaluation of use of LLMs to Build Science-Technology Relationships Ontology in Agriculture Domain --Taking the Hull-less barley as an example" (ppt)
Chai Miaoling,
Zhang Xian (National Science Library; Chinese Academy of Sciences; University of Chinese Academy of Sciences, China.)
&
Dawazhuoma. (Institution of Science and Technology Information of Tibetan Autonomous Region, China.)
- "AI-based Approaches to Automatic and Computer-Supported Resource Description in Archaeology" (ppt)
Isto Huvila & Ying-Hsang Liu. (Uppsala University, Sweden.)
- "Automatic Datafication and Metadata Creation by AI in the Digital Humanities Research: A Case Study of Archives of Qing Secret Societies" (ppt)
Sophy Shu-Jiun Chen, Hsiang-An Wang. (Institute of History and Philology, Academia Sinica, Taiwan.)
&
Hsi-Yuan Chen, Academia Sinica Center for Digital Cultures, Taiwan.
ISO 25964 - Current revision activities
- "ISO 25964 Current Revision Activities -- Introduction" (ppt)
Margie Hlava (Access Innovations, USA.)
- "ISO 25964 Focus Group Report" (ppt1-intro) (ppt2-visualReps)
Joseph Busch (Taxonomy Strategies, USA.),
Marcia Lei Zeng (Kent State University, USA.),
& Hua Liu (Institute of Scientific and Technical Information of China)
Announcements & reports
- Joseph Busch (Taxonomy Strategies, USA.)
Registration
Option 1. Participation in the in-person workshop and the full ISKO conference will require registration included with the rest of the ISKO conference [https://isko2024.whu.edu.cn/Registration.htm].
Option 2. Participation in the virtual workshop will require pre-registration with special rate [https://isko2024.whu.edu.cn/Registration.htm].
Program Committee
Program Committee
- Co-Chairs
- Program Committee Members
