
Panos Alexopoulos
Founder and Principal Educator, OWLTECH Panos Alexopoulos has been working in the field of Data Semantics and AI since 2006. He has published more than 60 academic papers in the field, and he is the author of the O’Reilly book “Semantic Modeling for Data – Avoiding Pitfalls and Breaking Dilemmas".

About this speaker
Panos Alexopoulos has been working since 2006 at the intersection of data, semantics and software, contributing in building intelligent systems that deliver value to business and society. Born and raised in Athens, Greece, Panos currently works as a principal educator & consultant at OWLTECH, developing and delivering training workshops that provide actionable knowledge and insights for data and AI practitioners. He also works as Head of Ontology at Textkernel BV, in Amsterdam, Netherlands, leading a team of data professionals in developing and delivering a large cross-lingual Knowledge Graph in the HR and Recruitment domain.
Panos has published several papers at international conferences, journals and books, and he is a regular speaker in both academic and industry venues, striving to bridge the gap between academia and industry so that they can benefit from each other. He is also the author of the O’Reilly book “Semantic Modeling for Data – Avoiding Pitfalls and Dilemmas”, a practical and pragmatic field guide for data practitioners that want to learn how semantic data modeling is applied in the real world.
Panos Alexopoulos has been working since 2006 at the intersection of data, semantics and software, contributing to building intelligent systems that deliver value to business and society.
In addition, he develops and delivers training workshops for practitioners in the fields of Data Semantics, Natural Language Processing, and Artificial Intelligence. Panos has published several papers at international conferences, journals and books, and he is a regular speaker in both academic and industry venues, striving to bridge the gap between academia and industry so that they can benefit from each other. He is also the author of the O’Reilly book “Semantic Modeling for Data – Avoiding Pitfalls and Dilemmas”, a practical and pragmatic field guide for data practitioners that want to learn how Semantic Data Modeling is applied in the real world.