This article introduces an exploratory computational approach to extending the realm of
automated journalism from simple descriptions to richer and more complex event-driven …

Abstract Knowledge graphs have gained increasing popularity in the past couple of years,
thanks to their adoption in everyday search engines. Typically, they consist of fairly static …

Commonsense knowledge is essential for many AI applications, including those in natural
language processing, visual processing, and planning. Consequently, many sources that …

In the literature, the notion of an event is ubiquitous. An event can be defined as a specific
occurrence of something (action or series of action) that happens in a certain time, a certain …

In recent years, several noteworthy large, crossdomain and openly available knowledge
graphs (KGs) have been created. These include DBpedia, Freebase, OpenCyc, Wikidata …

In this article, we describe a system that reads news articles in four different languages and
detects what happened, who is involved, where and when. This event-centric information is …

We present an approach for ontology population from natural language English texts that
extracts RDF triples according to FrameBase, a Semantic Web ontology derived from …

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

A key skill for a journalist is the ability to assess the newsworthiness of an event or situation.
To this purpose journalists often rely on news angles, conceptual criteria that are used both …

This work presents a review of the ideas that are currently in use on the ontology-based
conceptual modeling of occurrents (sometimes referred to as “events”,“perdurants”, or …