Fernando Bobillo is an assistant professor at University of Zaragoza, Spain. His main research topic is the integration of uncertainty reasoning (mainly fuzzy logic) and the Semantic Web. He is a member of the development team of several applications, such as the fuzzy Description Logic reasoners /fuzzyDL/ and /DeLorean/. He has been involved in the W3C's URW3-XG Group as an invited expert

Rommel Carvalho is a researcher with the Brazilian Comptroller and an affiliate professor at the University of Brasilia. His research focus is on uncertainty in the Semantic Web using Bayesian Inference, Software Engineering, and Java Programming. He is the developer of PR-OWL (v2.0) and UnBBayes, an open source, java-based graphical editor for Multi-Entity Bayesian Network and Probabilistic Web Ontology Language (PR-OWL).

Davide Ceolin is a postdoctoral researcher member of the Web & Media Group at the VU University Amsterdam. His research mainly focuses on the use of uncertainty reasoning for analyzing provenance and content of (Semantic) Web data to estimate their trust and reliability.

Paulo C. G. Costa is a research associate professor to the C4I Center and an affiliate professor to the Department of Systems Engineering and Operations Research, both at George Mason University. He developed PR-OWL, a probabilistic extension to the OWL Web Language based on the first-order Bayesian logic MEBN.

Claudia d’Amato is a research assistant at the University of Bari, Computer Science Department. Her research activity concerns similarity measures for concepts and individuals in Description Logics, supervised and unsupervised methods for ontology mining, and approximate and uncertain reasoning for the Semantic Web.

Nicola Fanizzi is an assistant professor at the Department of Computer Science, University of Bari, Italy. His research interests encompass Machine Learning and inductive approaches to UR in general.

Kathryn B. Laskey is an associate professor of Systems Systems Engineering and Operations Research at George Mason University. She has done extensive research in methods for Bayesian knowledge modeling and dynamic knowledge-based model construction. She has developed a probabilistic modeling language encompassing first-order logic and mechanisms for dynamic model construction.

Kenneth J. Laskey is lead engineer and technical lead for the Information Semantics group at the MITRE Corporation. He is a former member of the W3C Advisory Board and has worked extensively on issues relating to metadata and semantic interoperability.

Thomas Lukasiewicz is a Professor of Computer Science and Yahoo! Research Fellow at the Department of Computer Science of the University of Oxford. His main research interests are in AI, the Semantic Web, and databases.

Trevor Martin is a Professor of Artificial Intelligence and senior research fellow, working on Intelligent Information Management including information integration in soft hierarchies, soft computing for the semantic web, personalization and user modeling in the Intelligent Systems Group at Adastral Park.

Matthias Nickles is an assistant professor at National University of Ireland, Galway (INSIGHT Center for Data Analytics and Department of Information Technology). His main research interests are in machine learning (statistical relational learning), knowledge representation and semantic technologies, and multiagent systems.

Michael Pool is a vice president of technology at Goldman Sachs. He has a diverse background in knowledge representation, search, date interoperability and probabilistic knowledge elicitation and learning. He has published on the compatibility of human and machine cognition, hybrid knowledge representations and formalizations, and problems in Bayesian scientific theory.