NKOS Workshop Part 2

The 2022 NKOS workshop will explore the potential of Knowledge Organization Systems (KOS), such as terminologies, vocabularies, classification systems, taxonomies, thesauri, ontologies, and lexical databases, in the context of current developments and possibilities.

Workshop Schedule : https://nkos.dublincore.org/2022NKOSworkshop/NKOS-2022-Program.html

The workshop welcomes 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 cataloging, 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 Modeling. Modeling 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.