Semantic Technology Training - Ontotext

Ontotext has two general approaches to help improve expertise in Semantic Technology as well as Ontotext products – live sessions with pre-planned curriculum or tailor-made training courses to accommodate specific needs and requirements. The latter are available as group trainings and one-on-one tutorials.

Live Trainings

Live trainings are pre-designed courses focusing on various Semantic Technology concepts. Typically, they consist of two parts – pre-class assignments done at individual pace, and half- or full-day live online session.

Training: Designing Semantic Technology PoC

On-Demand Trainings

Our standard curriculum courses provide instructions in broadly applicable Semantic Technology concepts. Additionally, several of our courses can be customized to meet the unique needs of your organization.

Training on demand

Training Instructors

Georgi Georgiev

Georgi Georgiev is a leading expert in technical programming and technical architecture, linked data and cognitive technology, big data and text analytics. He is an author of more than 60 insightful research and industry publications on today’s hot topics of machine learning, algorithms, linguistics, big data, analytics and semantic technology.

Vladimir Alexiev, Lead of Data and Ontology Modeling Team

Vladimir’s experience includes ontology engineering, metadata standards, vocabularies and thesauri, RDF, RDFS, OWL2, SHACL, SKOS, SPARQL, LOD, mapping, R2RML, ETL, semantic web applications, project management, business analysis and requirements specifications. He has worked in various business domains, from Customs and Excise, to Personal Finance workflows, to Legal Procedures and Statistics, to Cultural Heritage and Digital Humanities.

Ivelina Nikolova, Senior NLP Engineer

Ivelina Nikolova has over 10 years experience in natural language processing. Recently she is focusing on the application of NLP techniques for enhancing semantic technologies which is also the topic of her PhD thesis. Her expertise in semantic annotation and information extraction is result of numerous research and commercial projects in domains like news & media, financial, bio-medical and cultural heritage. In these areas she tackles successfully problems like named entity recognition, relation extraction and event modeling.


Petar Ivanov has a MS in Machine Learning from University College London and a MS in Neural Systems and Computation from the ETH & University of Zurich. His core expertise is semantic technology integration, graph databases, LOD, ontology modeling, and vocabulary & thesaurus management.

Vladimir Alexiev, Lead of Data and Ontology Modeling Team

Alex Popov has an MSc in Computing from Imperial College London and is currently a PhD candidate, with a focus in Computational Linguistics and, more specifically, Word Sense Disambiguation with neural networks. He has worked on information extraction and machine translation projects, as well as on building lexical semantic language resources (such as a Bulgarian version of WordNet). He also has a strong background in Theoretical and Applied Linguistics.

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