Building a successful PoC requires a good understanding of the technology basics, as well as its practical implementation. This training covers both aspects in a concise, yet comprehensive way. We will help:
to agree on their PoC functional design.
Although you will need to have some basic understanding of Semantic Technology, no detailed knowledge is required. All advanced concepts exposed in this course will be explained in sufficient detail.
The training can be followed by an individual 1-hour consultation (included in the price) to turn the acquired knowledge into a practical solution to a specific business case. We will be able to offer only 15 spots for individual consultations for each training.
As part of the consultation, we will:
Get a chance to address your project’s specific requirement with our experts in the domains of Life Science, Healthcare, Publishing & Media, Natural Language Processing, Text Analysis, Ontology and Vocabulary Management and others.
Georgi is a leading expert in technical programming, technical architecture, linked data, cognitive technology, and text analytics. He is the author of more than 60 research and industry publications on today’s hot topics of machine learning, algorithms, linguistics, big data, analytics and Semantic Technology.
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 has over 10 years of experience in natural language processing. Recently she has been focusing on the application of NLP techniques for enhancing semantic technologies, which is also the topic of her Ph.D. thesis. Her expertise in semantic annotation and information extraction is the result of numerous research and commercial projects in domains like news & media, financial, biomedical and cultural heritage. In these areas, she sets to solve problems related to named entity recognition, relation extraction, and event modeling.
Petar has an MS in Machine Learning from University College London and an 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.
Alex has an MSc in Computing from Imperial College London and is currently a Ph.D. 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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