In this article, we provide a comprehensive introduction to knowledge graphs, which have
recently garnered significant attention from both industry and academia in scenarios that …

We provide a comprehensive survey of the research literature that applies Information
Extraction techniques in a Semantic Web setting. Works in the intersection of these two …

ABSTRACT Natural Language Processing (NLP) is now widely integrated into web and
mobile applications, enabling natural interactions between humans and computers …

Transforming unstructured text into a formal representation is an important goal of the
Semantic Web in order to facilitate the integration and retrieval of information. The …

We introduce the STEM (Science, Technology, Engineering, and Medicine) Dataset for
Scientific Entity Extraction, Classification, and Resolution, version 1.0 (STEM-ECR v1. 0) …

Journalism is challenged by digitalisation and social media, resulting in lower subscription
numbers and reduced advertising income. Information and communication techniques (ICT) …

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 …

Extracting valuable insights from vast amounts of unstructured digital text presents
significant challenges across diverse domains. This research addresses this challenge by …

Journalism relies more and more on information and communication technology (ICT). ICT-
based journalistic knowledge platforms continuously harvest potentially news-relevant …

A picture is worth a thousand words, the adage reads. However, pictures cannot replace
words in terms of their ability to efficiently convey clear (mostly) unambiguous and concise …