Recent Networked Knowledge Organization Systems/Services/Structures (NKOS) Research

Guest Editors:

Joseph Busch ([email protected])

Joseph Busch is the founder and principal of Taxonomy Strategies which has been guiding global companies, government agencies, international organizations, and non-profits in developing metadata frameworks and taxonomy strategies. He organized the first U.S. NKOS (Networked Knowledge Organization Systems/Services) workshop held at the ACM Digital Libraries Conference in Philadelphia in 1997. He has been involved with organizing the NKOS workshop ever since. He also co-edited special issues with selected papers from the 2019 and 2020 NKOS workshops.

Maureen McClarnon ([email protected])

Maureen McClarnon was a metadata architect and vocabulary editor at Cengage for 11 years and has been freelancing since then, including working on projects at Taxonomy Strategies.

Aims of the Special Issue:

This special issue explores the potential of Knowledge Organization Systems (KOS), including terminologies, vocabularies, classification systems, taxonomies, thesauri, ontologies, and lexical databases, in the context of current developments and possibilities. We welcome submissions on the following themes particularly concerning the COVID-19 pandemic as the main focus:

• Health-related KOS issues and contributions
• How KOS enables remote work and collaboration

Further timely presentations/demonstrations will be selected from the following topics:

• Quality and Governance. KOS adoption and use to ensure information quality, enable information governance, and support effective cataloguing, retrieval, and use of very large heterogeneous structured and unstructured collections as a result of accelerated adoption of remote work as a necessity due to the pandemic.
• Domain Modelling. Modelling of pertinent real-world concepts needed in a general KOS for entities, such as people, organizations, locations, events, products, services, and content; personal identifiable information (PII) and information security classifications; research data applications, such as medical classifications, to support epidemiology, public health, and healthcare domains
• Terminology/Vocabulary Development and KOS Mapping. Encoding concepts and relationships as the basis for reasoning rules; for example, to enable language and concept switching, vocabulary mapping, linked data, multilingual retrieval, annotation, and enrichment
• History and Ethics. Unintended consequences of establishing and promulgating culture-bound KOS vocabularies as standards for organizing and accessing very large heterogeneous content repositories of business, health and medical, and other general content collections; best practices for FAIR vocabularies and ontologies.
• Automated Indexing. Automating PII and security classification, using and evaluating health and medical classifications, and other KOS-based indexing, classification, entity-extraction, clustering, and other information retrieval methods.