EURECOM, Sophia Antipolis, France
Pasquale Lisena is a postdoctoral researcher in the Data Science department at EURECOM, working on knowledge modeling and information extraction in the domain of digital humanities. He obtained in 2019 a PhD in Computer Science from Sorbonne University of Paris, with a thesis on music representation and recommendation. He was part of the DOREMUS project, actively contributing in realising the largest knowledge graph ever about classical music. His experiences include two tutorials in conferences of the field (K-CAP 2017, ESWC 2018, ISWC 2020), assistant teaching in the Web Interaction course at EURECOM (since 2017) and lecturer in the “Aalto BootCamp 2019” at EURECOM.
Albert Meroño Peñuela
King’s College London, London, United Kingdom
Albert Meroño Peñuela is a Lecturer in Computer Science at King’s College London. Previously he was a postdoctoral researcher at the Knowledge Representation & Reasoning group of the Vrije Universiteit Amsterdam. He works on Knowledge Graph construction, access, and use in digital humanities workflows, where he has built large (>10 billion triples) Knowledge Graphs for history and musicology. He was the lead engineer for structured data in CLARIAH, a 32M EUR Dutch project for integrating Digital Humanities data, and serves in CLARIAH’s Technical Board as coordinator of the LOD Interest Group. His automated Linked Data API construction methods are today used in Elsevier, TNO, the eScience Center, and 3200 other users. He has been teaching BSc and MSc courses at the VU since 2013 on Knowledge Representation, AI, and Digital Humanities; and has supervised the BSc/MSc theses of 33 students.
Photo credit: Thomas Claveirole