About me...
I have been a member of the Artificial Intelligence Research Group (ART), since 2011. I graduated in Engineering & Computer Science in 2011 with a thesis on “Analisi e sviluppo di tecniche di identity resolution per l'acquisizione automatica di conoscenza” (“Analysis and development of identity resolution techniques for automated knowledge acquisition”). In 2015, I took a PhD in Computer Science and Automation Engineering defending a thesis on semantic integration at web-scale.
Research Interests
My research interests cover several topics related to semantic technologies for the Semantic Web, including:
- knowledge representation
- knowledge acquisition
- knowledge management
- ontology matching
- linked data
- open data
- FAIRness
I am also a member of the Ontology-Lexica W3C Community Group, which developed a lexicon model for ontologies that later became a cornerstone of the Linguistic Linked Open Data (LLOD) subcloud, as the model has been reused for representing different linguistic resources as linked data.
n the area of legal informatics, I contributed to the development of LegalHTML, which builds on the extensibility of modern HTML to support the combined representation of metadata, structure, and semantics of legal acts in a single artifact. I also co-chaired the LIRAI (Legal Information Retrieval meets Artificial Intelligence) workshop on topics at the intersection of information retrieval and AI applied to the legal domain.
I have participated in EU-funded projects (SemaGrow and KATY) and in R&D projects for the development of an ecosystem of semantic web applications. These include VocBench and ShowVoc, which support respectively dataset maintenance and development, and data publication and fruition (including the construction of data portals).
