Large Language Models (LLMs) have taken Knowledge Representation--and the world--by
storm. This inflection point marks a shift from explicit knowledge representation to a renewed …

This survey investigates the synergistic relationship between Large Language Models
(LLMs) and Knowledge Graphs (KGs), which is crucial for advancing AI's understanding …

Integrating deep learning techniques, particularly language models (LMs), with knowledge
representation techniques like ontologies has raised widespread attention, urging the need …

We present a method for automatically constructing a concept hierarchy for a given domain
by querying a large language model. We apply this method to various domains using …

Interpreting hierarchical structures latent in language is a key limitation of current language
models (LMs). While previous research has implicitly leveraged these hierarchies to …

The Ontology Alignment Evaluation Initiative (OAEI) aims at comparing ontology matching
systems on precisely defined test cases. These test cases can be based on ontologies of …

Ontology Matching (OM) plays an important role in many domains such as bioinformatics
and the Semantic Web, and its research is becoming increasingly popular, especially with …

Automated medical coding, an essential task for healthcare operation and delivery, makes
unstructured data manageable by predicting medical codes from clinical documents. Recent …

The term life sciences refers to the disciplines that study living organisms and life processes,
and include chemistry, biology, medicine, and a range of other related disciplines. Research …

Investigating whether pre-trained language models (LMs) can function as knowledge bases
(KBs) has raised wide research interests recently. However, existing works focus on simple …