48 citations · 102 across the 7 of their papers we have counts for
7 papers
Bench4KE: Benchmarking Automated Competency Question Generation
Anna Sofia Lippolis, Minh Davide Ragagni, Paolo Ciancarini +2
The availability of Large Language Models (LLMs) presents a unique opportunity to reinvigorate research on Knowledge Engineering (KE) automation. This trend is already evident in r…
A Reference Software Architecture for Social Robots
Luigi Asprino, Paolo Ciancarini, Andrea Giovanni Nuzzolese +2
Social Robotics poses tough challenges to software designers who are required to take care of difficult architectural drivers like acceptability, trust of robots as well as to guar…
SQuAP-Ont: an Ontology of Software Quality Relational Factors from Financial Systems
Paolo Ciancarini, Andrea Giovanni Nuzzolese, Valentina Presutti +1
Quality, architecture, and process are considered the keystones of software engineering. ISO defines them in three separate standards. However, their interaction has been scarcely…
Observing LOD using Equivalent Set Graphs: it is mostly flat and sparsely linked
Luigi Asprino, Wouter Beek, Paolo Ciancarini +2
This paper presents an empirical study aiming at understanding the modeling style and the overall semantic structure of Linked Open Data. We observe how classes, properties and ind…
The practice of self-citations: a longitudinal study
Silvio Peroni, Paolo Ciancarini, Aldo Gangemi +3
In this article, we discuss the outcomes of an experiment where we analysed whether and to what extent the introduction, in 2012, of the new research assessment exercise in Italy (…
Do altmetrics work for assessing research quality?
Andrea Giovanni Nuzzolese, Paolo Ciancarini, Aldo Gangemi +3
Alternative metrics (aka altmetrics) are gaining increasing interest in the scientometrics community as they can capture both the volume and quality of attention that a research wo…
Empirical Analysis of Foundational Distinctions in Linked Open Data
Luigi Asprino, Valerio Basile, Paolo Ciancarini +1
The Web and its Semantic extension (i.e. Linked Open Data) contain open global-scale knowledge and make it available to potentially intelligent machines that want to benefit from i…