Abstract Background Knowledge graphs (KGs) play a key role to enable explainable
artificial intelligence (AI) applications in healthcare. Constructing clinical knowledge graphs …

Natural Language Processing (NLP) is the automatic processing of text written in natural
(human) languages (English, French, Chinese, etc.), as opposed to artificial languages such …

In the context of the Covid-19 pandemic, many were quick to spread deceptive information. I
investigate here how reasoning in Description Logics (DLs) can detect inconsistencies …

Automated ontology learning from unstructured textual sources has been proposed in
literature as a way to support the difficult and time-consuming task of knowledge modeling …

We tackle the task of enriching ontologies by automatically translating natural language (NL)
into Description Logic (DL). Since Large Language Models (LLMs) are the best tools for …

The volume of natural language text data has been rapidly increasing over the past two
decades, due to factors such as the growth of the Web, the low cost associated to publishing …

A growing interest in tasks involving language understanding by the NLP community has led
to the need for effective semantic parsing and inference. Modern NLP systems use semantic …

Although there has been much work in recent years on data-driven natural language
generation, little attention has been paid to the fine-grained interactions that arise during …

Since the beginning of the century, research on ontology learning has gained popularity.
Automatically extracting and structuring knowledge relevant to a domain of interest from …

We have applied this framework to general knowledge acquisition from text corpora and the
web (though with tense meaning and many other semantic details stripped away)(eg …