Knowledge Representation and Management in the Age of Long Covid and Large Language Models: a 2022-2023 Survey

TL;DR

This survey summarizes recent advancements in knowledge representation and management, focusing on long COVID and large language models from 2022 to 2023.

Contribution

The paper provides a focused survey of KRM developments in two emerging areas: long COVID and large language models.

Findings

Fifteen relevant KRM papers were selected from 8,706 PubMed publications.

Two main themes emerged: KRM for long COVID and KRM with generative large language models.

KRM approaches are shown to support global health understanding and AI technology evaluation.

Abstract

Objectives
: To select, present, and summarize cutting edge work in the field of Knowledge Representation and Management (KRM) published in 2022 and 2023.

Methods
: A comprehensive set of KRM-relevant articles published in 2022 and 2023 was retrieved by querying PubMed. Topic modeling with Latent Dirichlet Allocation was used to further refine this query and suggest areas of focus. Selected articles were chosen based on a review of their title and abstract.

Results
: An initial set of 8,706 publications were retrieved from PubMed. From these, fifteen papers were ultimately selected matching one of two main themes: KRM for long COVID, and KRM approaches used in combination with generative large language models.

Conclusions
: This survey shows the ongoing development and versatility of KRM approaches, both to improve our understanding of a global health crisis and to augment and evaluate cutting edge technologies from other areas of artificial intelligence.

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