Cognitum offers a comprehensive program of various public and on-site training and workshops ranging from one-day executive briefings to deeply technical hands-on tutorials. We constantly update the training curriculum to reflect new developments in the technology, tools and industry. All trainings can be tailored to specific customer needs and requirements.
Introduction to Semantic Technologies
2-day Course [on-site or off-site]
This course is a comprehensive overview and practical guide on the modeling and development of semantic model-driven applications.
Target audience: entry- and mid-level ontologists, engineers and data scientists.
- The business-value hidden in semantic technologies
- The Semantic-Web Initiative
- Semantic-Web languages
- RDF- Resource Description Framework
- RDFS/SPARQL – Creating/Querying the Linked-Data Graph
- Introduction to OWL– Web Ontology Language – semantics for RDF
- Ontologies – how to conceptualize the known world?
- Reasoning – uncovering implicit knowledge from explicit one – why is it so hard?
- A few words about the history of logics – from Aristoteles to Frage and then: Wittgenstein, Tarski, Krippke.
- Description Logics – why reasoning should be sound & complete.
- Open-World Assumption vs. SQL.
- Monotonicity – it is not so bad at the end of the day.
- Formal Knowledge Data-Base – the differences/similarities to Relation Database?
- Knowledge Representation & Reasoning System – what about modifications/triggers/transactions?
- Concurrency & Transactions in KRR Systems?
- Spreading the reasoning around the cluster– the BIG THING
- Technological Aspects of the BIG THING
- Ontology mapping/merging – how to make it work together?
- Controlled Natural Languages – HMI (human machine interface) that calculates what means what.
- Semantic search
- Complex infrastructure management
- Requirements monitoring
- Data integration
- Media monitoring
R – The Data Science Language
1-day Course [on-site or off-site]
The R language is widely used among statisticians and data miners for developing statistical software and data analysis. Moreover, R can be efficiently used with Semantic Technologies and significantly boost data engineers productivity.
Target audience: entry- and mid-level ontologists, engineers and data scientists that want to boost their productivity with the R language.
- Introduction to R
- Vector Oriented Language - Comparison to Java, LISP, FORTRAN
- R data types and objects, reading and writing data
- Control structures, Functions, Scoping rules, Loop functions
- Programing in R
- Tools – RStudio
- Plotting/3D Graphs
- Text Mining/Machine Learning with R
- Sematic technologies in R
Cognitum Semantic Toolset - Ontorion and Fluent Editor
2-3-day Course + Workshop [on-site or off-site]
A comprehensive overview and practical guide on the modeling and development of semantic model-driven applications with Cognitum Tools: Fluent Editor, Ontorion Server with SDK, Ontorion Semantic Forms for ASP.NET, Ontorion Text Mining Tools.
Target audience: any-level ontologists, engineers and data scientists that want to boost their productivity with Cognitum Tools.
- Knowledge Engineering with Fluent Editor
- Introducing the Ontorion Server with SDK
- Complex deployment scenarios
- Building Semantic applications with Ontorion SDK - Hands-on Lab
- Mastering Ontorion Text Mining Tools
- Building Model Driven Applications with Ontorion Semantic Forms for ASP.NET