Ontotext Offers Its 11th Designing a Semantic Technology PoC Live Online Training
SOFIA, Bulgaria, June 12, 2019 /PRNewswire/ — Ontotext is hosting the 11th edition of its prominent live online training Designing a Semantic Technology Proof-of-Concept, which will take place from the 20th to 27th of June.
The training aims to equip participants with the theoretical and practical knowledge necessary to kick off their own simple proof-of-concept project demonstrating the power of semantic technology combined with knowledge graphs. It is also suitable for people who have only a basic understanding of the technology but are ready to dive into practical assignments.
Designing a Semantic Technology Proof-of-Concept is divided into three parts. The first part is self-paced and consists of a set of video materials and SPARQL exercises that provide a solid theoretical and practical introduction to semantic technology, graph technology and W3C standards. Participants have at least a week at their disposal to finish this part of the course as the knowledge they gain from is necessary to proceed with the rest of the training.
The second part is a live online session, which takes approximately 4.5 hours. It is practice-oriented and focuses on essential processes such as data preparation, advanced SPARQL exercises, examples of integrating Ontotext’s semantic graph database GraphDB with other applications via the REST API, etc.
The third part is optional. It is an individual 1-hour session with an Ontotext expert. The session offers the opportunity to address a specific project with all its challenges and to get professional feedback and guidance on how to proceed further.
Ontotext’s Designing a Semantic Technology Proof-of-Concept covers both theory and practice in a concise, yet comprehensive way. It helps product managers, system architects, developers, data scientists and academic researchers to master the implementation process step-by-step.
For over two decades Ontotext has brought together knowledge, data and analytics transforming how organizations identify meaning across diverse databases and massive amounts of unstructured data through knowledge graphs.
Ontotext makes tailor-made solutions across multiple sectors: media and publishing, life sciences, government and cultural heritage, financial services and more. Their client list includes news and media agencies like the BBC and Financial Times, top Academic publishers like Elsevier, Springer Nature and Wiley, leading pharmacological companies such as AstraZeneca, public institutions including the UK Parliament, Kadastr.NL and US Department of Defense, and cultural institutions like the British Museum, The National Gallery of USA and Getty Trust.