Document Type
Conference Document
Date
3-19-2024
Keywords
Knowledgebases, knowledge organization, Gene Ontology, Disease Ontology
Language
English
Disciplines
Cataloging and Metadata | Library and Information Science
Description/Abstract
This paper uses the knowledgebases in the biomedical field as a case study to discuss the characteristics and requirements of knowledge organization (KO) practices and products by looking at the constructs, cross-linking, and curation methods. Modern knowledgebases such as Gene Ontology and Disease Ontology reflect the major expansions in KO to be more computational, portable (entification allows individual nodes to be extracted and used in combination with multiscale resources) and connected. Many techniques and methods used are not covered in KO textbooks. The interdisciplinary nature of KB development will be a worthwhile research area for the field of knowledge organization.
ISBN
978-3-98740-047-6
Recommended Citation
Qin, J. & Liu, Q. (2024). Organizing knowledge through revealing data in knowledgebases. In: Knowledge Organization for Resilience in Times of Crisis: Challenges and Opportunities: Proceedings of the Eighteenth International ISKO Conference, 2024, Wuhan, China, pp. 393-400. Baden-Baden: Ergon. https://doi.org/10.5771/9783987400476
Source
submission
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
