Call for Papers: Special Issue on The Role of Ontologies and Knowledge in Explainable AI

Call for papers: Special Issue on

The Role of Ontologies and Knowledge in Explainable AI

Explainable AI (XAI) has been identified as a key factor for developing trustworthy AI systems. The reasons for equipping intelligent systems with explanation capabilities are not limited to user rights and acceptance. Explainability is also needed for designers and developers to enhance system robustness and enable diagnostics to prevent bias, unfairness, and discrimination, as well as to increase trust by all users in why and how decisions are made.

Roll-out of Open Science Data Website Update

As discussed in a previous post, we will be implementing changes to the review process. The new requirements will be in effect after a system update on April 29. The website will be offline for a few hours starting 7:00am CEST on April 29 for the update.

Open Science Data: Impending changes to the review process at the Semantic Web journal

From its beginning, the Semantic Web journal has taken a lead in bringing more transparency to academic publishing, due to its open and transparent review process, and due to its transition to a gold standard open access journal. Truly Open Science, however, involves much more, and we are now turning our attention to another core aspect of Open Science: the stable provision of data and software relevant for a published paper.