ChatGPT burst into people's lives at the end of 2022, heralding the arrival of large language models in particular, and generative AI in general. How best to see this moment in the development of AI. What is generative AI actually good for? And what are ...

As young people increasingly use AI in their daily lives, it is imperative to foster these learners’ AI literacy. We present Knowledge Net, a collaborative tangible tabletop museum exhibit aimed at teaching users about knowledge representations, which ...

Digital twins, which are increasingly adopted in industry, are model-centric systems used to improve the behavior of a twinned physical system. Seen as a whole, this system has several layers of self-adaptation: first, the digital twin manages its ...

Natural language communication is an intricate and complex process. The speaker usually begins with an intention and motivation of what is to be communicated, and what outcomes are expected from the communication, while taking into consideration ...

Decision-making (DM) is the backbone of the Conservation and Restoration (CnR) of Cultural Heritage (CH). The demands of the DM process for information organization and management have raised issues that the CnR community attempts to solve by creating DM-...

Modeling decisions in the context of incomplete knowledge is a challenging problem. We argue that none of the existing formalisms for modeling decisions are capable of correctly capturing the epistemic nature of such decisions. This paper presents a new ...

In the interconnected world of Digital Business Ecosystems (DBE), employees of organizations use different endpoints to search for information, access data, and interact with other users. However, navigating the supporting platforms can often be ...

Personal knowledge graphs (PKGs) offer individuals a way to store and consolidate their fragmented personal data in a central place, improving service personalization while maintaining full user control. Despite their potential, practical PKG ...

Progression in the Situation Calculus is perhaps one of the most extensively studied cases of updating logical theories over a sequence of actions. While it generally requires second-order logic, several useful first-order and tractable cases have been ...

Levesque introduced the notion of only-knowing to precisely capture the beliefs of a knowledge base. While numerous studies of only-knowing have emerged, such as the representation of probabilistic beliefs or reasoning about beliefs in an uncertain ...

Decision rules belong to known forms of knowledge representation. Among popular measures of their quality length and support can be distinguished. Shorter rules are easier to understand and interpret. Support allows to present patterns hidden in ...

Decision reducts and rules belong to forms used for the representation of knowledge learnt from input data while using a rough set approach in the exploration stage. As with any patterns that capture properties of data, the size is considered as ...

Developing Scientific Reasoning (SR) competencies at an early age, are challenging to meet expectation of the 4^th sustainable development goal. Hence, educators and educational decision-makers try to embed these competencies into such subjects as ...

The domains of computational social anthropology and computational ethnography refer to the computational processing or computational modelling of data for anthropological or ethnographic research. In this context, the article surveys the use of ...

Uncertain Knowledge Graphs (UKGs) are used to characterize the inherent uncertainty of knowledge and have a richer semantic structure than deterministic knowledge graphs. The research on the embedding of UKG has only recently begun, Uncertain ...

The prosperity of knowledge graphs, as well as related downstream applications, has raised the urgent need for knowledge graph completion techniques that fully support knowledge graph reasoning tasks, especially under the circumstance of training data ...

Recent advancements in the field of Natural Language Processing, particularly the development of large-scale language models that are pretrained on vast amounts of knowledge, are creating novel opportunities within the realm of Knowledge Engineering. In ...

Knowledge in mathematics (definitions, theorems, proofs, etc.) is usually expressed in a way that combines natural language and mathematical expressions (e.g. equations). Using an ontology formalism such as OWL DL is well-suited for formalizing the ...

Resource leaks, which are caused by acquired resources not being released, often result in performance degradation and system crashes. Resource leak detection relies on two essential components: identifying potential Resource Acquisition and Release (RAR)...

Italian Arthroplasty Registry (Registro Italiano ArtroProtesi, RIAP) is organized as a federation of regional registries, involved on voluntary basis, with the purpose of collecting data to monitor joint prostheses safety and quickly recall ...