Claudia d’Amato is associate professor at the University of Bari – Computer Science Department and she got the Italian Habilitation for the functions of Full Professor for the Scientific Sector “09/H1 – Information Processing Systems ” on April 14th, 2021 and for the Scientific Sector “01/B1 – Informatics” on April 29th, 2021. She obtained her PhD in 2007 from the University of Bari, Italy, defending the thesis titled “Similarity Based Learning Methods for th Semantic Web. She pioneered the research on Machine Learning methods for ontology mining and Knowledge Graphs that still represents her main research interest. She is member of the editorial board of the Semantic Web Journal and the Journal of Web Semantics. She served/is serving as General Chair for ISWC 2022, Program Chair for ISWC 2017, ESWC 2014, Vice-Chair for ISWC 2009, Journal Track chair for TheWebConf 2018 (previously WWW), Tutorial Chair for ECAI 2020, Machine Learning Track Chair for ESWC’12-’13-’16-’17 and PhD Symposium chair at ESWC’15-’21. She served/is serving as a program committee member of a number of international conferences in the area of Artificial Intelligence, Machine Learning and Semantic Web such as AAAI, IJCAI, ECAI, ECML, ISWC, TheWebConf, ESWC.

Irene Celino is the Head of the Knowledge Technologies group at Cefriel. Her research activities cover two main trends: Human Computation (AI user acceptance, human-in-the-loop machine learning, user engagement for data management via citizen science and crowdsourcing) and Semantic Web (data fabric and data spaces, data harmonization and semantic interoperability), with focus on the application of such technologies to the development of web applications, especially in Smart City and Communities scenarios. She has 15+ years of experience in cooperative research projects, both at National/Regional level and at European level within FP6, FP7, H2020 and EIT (Digital, manufacturing, Urban Mobility). She is author of 100+ peer-reviewed scientific publications. With her team, she won the Semantic Web Challenge in 2011 and 2015, the AI Mashup Challenge in 2011 and the Big Data Challenge in 2014.

John Domingue is a full Professor of Computer Science at the Open University, Director of the Knowledge Media Institute, the OU’s technology Research and Innovation centre, and the President of STI International, a semantics focused networking organization. He has published over 280 refereed articles in the areas of semantics, the Web, distributed ledgers and eLearning. Prof. Domingue served as the leader of the first of five themes, on University Learners, for the £40M Institute of Coding which aimed to increase the number and diversity of computing graduates in the UK as well as enhancing the connection between university teaching and corporate training. In 2017 Prof Domingue’s research in blockchains and education was referenced in the Joint Research Centre Policy Report Blockchain in Education for the European Commission. Prof. Domingue has given many talks on his work including at the Royal Institution in 2018, at TEDx and most recently featured in THE Campus on interdisciplinary research teams. The start of 2022 saw a new project to develop smart national educational content platform (VocTeach Platform), embedding the latest AI techniques, to support FE educators was initiated with John Domingue serving as the overall project lead.

Sebastian obtained a PhD in Mathematics from TU Dresden in 2006, before joining Rudi Studer’s Knowledge Management Group in Karlsruhe, where he received his habilitation in Computer Science in 2011. Since 2013, he is a full professor for computational logic at TU Dresden. His main research interests comprise Artificial Intelligence (especially Knowledge Representation and Reasoning), Database Theory, NLP and others. Research stays have lead Sebastian to places as diverse as Oxford, Montpellier, Rennes, Santiago de Chile and Vienna. Sebastian co-authored several textbooks on Semantic Web technologies. He recently received an ERC Consolidator Grant to support his research on the decidability boundaries of logic-based Knowledge Representation.

Marieke van Erp leads the Digital Humanities Lab at the KNAW Humanities Cluster in Amsterdam, the Netherlands. She holds a PhD in computational linguistics from Tilburg University where she applied digital humanities methods on historic textual sources from the Naturalis Biodiversity Center. Her research focuses on semantic analysis of text to extract entities and events. She worked in the Semantic Web group and Computational Lexicology and Terminology Lab at Vrije Universiteit Amsterdam on bringing together the fields of natural language processing and semantic web.

Aldo Gangemi is full professor at University of Bologna, and associate researcher at Italian National Research Council, Rome. He has co-founded the Semantic Technology Lab at ISTC-CNR. His research focuses on Semantic Technologies as an integration of methods from Knowledge Engineering, the Semantic Web, Linked Data, Cognitive Science, and Natural Language Processing. His theoretical interests concentrate upon the representation and discovery of knowledge patterns from data, ontology, natural language, and cognition, across multiple application domains. He has published more than 200 papers in international peer-reviewed journals, conferences and books, and seats as EB member of Semantic Web, Applied Ontology, and Web Semantics journals.

Paul Groth is Professor of Algorithmic Data Science at the University of Amsterdam where he leads the Intelligent Data Engineering Lab (INDElab). He holds a Ph.D. in Computer Science from the University of Southampton (2007) and has done research at the University of Southern California, the Vrije Universiteit Amsterdam and Elsevier Labs. His research focuses on intelligent systems for dealing with large amounts of diverse contextualized knowledge with a particular focus on web and science applications. This includes research in data provenance, data integration and knowledge sharing. Previously, Paul led the design of a number of large scale data integration and knowledge graph construction efforts in the biomedical domain. Paul was co-chair of the W3C Provenance Working Group that created a standard for provenance interchange. He has also contributed to the emergence of community initiatives to build a better scholarly ecosystem including altmetrics and the FAIR data principles. Paul is co-author of “Provenance: an Introduction to PROV” and “The Semantic Web Primer: 3rd Edition” as well as numerous academic articles.

Jan-Christoph Kalo obtained a Ph.D. from TU Braunschweig, Germany. Since 2021, he is a postdoctoral researcher in the Learning and Reasoning Group at the Vrije Universiteit Amsterdam. His research focus is on machine learning methods, particularly language models, for knowledge graph construction and knowledge management. He is co-organizing this year’s LM-KBC challenge and KBC-LM workshopat International Semantic Web Conference (ISWC).